Projects | Final Year Projects

Age and Gender Detection Using Deep Learning
Project Domain / Category
Desktop Based Application
Abstract / Introduction
We propose a Desktop based Gender and Age Detection software system. It will use deep learning
to accurately identify Gender and Age from a single image. The project aims to develop a computer
vision-based system that can detect the gender and approximate age of individuals from images.
OpenCV, a popular open-source computer vision library, will be used to process and analyze the
images. The system will employ deep learning techniques to accomplish gender and age detection.
Project Components:

Data Collection: Gather a diverse dataset of images with labeled gender and age information.
Data Preprocessing: Prepare and clean the dataset by resizing images, normalizing pixel
values, and organizing the data for training and testing. Arrange dataset according into the
age groups. For example, (0-2), (3-6), and (7-10) etc.
Dataset: https://www.kaggle.com/datasets/ttungl/adience-benchmark-gender-and-ageclassification
Model Selection: Choose a deep learning model for gender and age detection. Popular
choices include Convolutional Neural Networks (CNNs), pre-trained models like VGGFace, or
custom architectures.
Helping material: https://talhassner.github.io/home/publication/2015_CVPR
Model Training: Train the selected model using the preprocessed dataset. Fine-tuning on a
pre-trained model can significantly improve accuracy.
Model Evaluation: Evaluate the model’s performance using metrics such as accuracy and
precision. Fine-tune the model to achieve the desired level of accuracy.
Real-time Detection: Implement a real-time detection pipeline using OpenCV to upload a
image from and apply the trained model for gender and age detection.
User Interface: Create a user-friendly interface.
Deployment: Deploy the system on desktop.
Testing and Validation: Conduct thorough testing on various datasets and in real-world
scenarios to ensure the system’s accuracy and reliability.
Technologies and Tools:

Python
OpenCV

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Automated Graph Reader (AGR)
Project Domain / Category
Software Engineering/Web/Desktop/Machine learning/Research.
Abstract / Introduction
Data mining has several real-world applications, and data acquisition is the first step in the process
of analysis and perform decision-making tasks. Sometimes, data is only available in graphical images
that may require costly computational methods to process. However, the computational complexity
can be reduced by extracting the data from graph images and then using numeric data instead of
images in future phases of analysis and prediction. In this project, students are required to design
and develop a Web or Desktop Application in the language of their choice to extract graph data from
images.
Figure 1 – Graph Reading
Figure 2 – Graph Components
Functional Requirements:
The functional requirements are grouped into two phases. In the first phase, students will develop a
prototype following specific requirements. The requirements in the first phases are implementation
of basic functionality. In second phase, students will develop the final version of the web or desktop
application with additional requirements as specified below. The requirements of the second phase
mostly focus on automatic detection and extraction of data and batch processing.
1.1 PROTOTYPE PHASE
1.1.1 Image Processing
The solution should allow processing the input images in terms of cropping, changing colors,
and image improvement.
1.1.2 Image Cropping and Alignment

Crop additional white space around graphs’ sides manually in batch mode.
Align the graph’s sides manually in batch mode.
Align the graph’s sides manually in batch mode automatically.
1.1.3 Image Scaling and axis detection
Allow users to manually specify the scale of the graph by selecting the corner points and
assigning the values.
1.1.4 Data Point Selection
Allow manual selection of data points and calculate the coordinates automatically.
Data shapes
o Circle Filled (●)
o Asterisk (*)
o Cross (x)
Graph Types
o The solution should be able to work on the following graphs at least.
Line Bar Network
Figure 3 – Graph Types
1.1.5 Data Persistence
Store all extracted data against the user’s specified data.
All the operations must be interactive.
1.1.6 Processing Flow
Upload Images
Preprocess
Axis selection and Scaling
Datapoint Selection/Detection
Save Data
Process next image
1.2 FINAL APPLICATION
1.2.1 Image Cropping and Alignment
Crop additional white space around graph sides automatically
1.2.2 Image Scaling and axis detection
Allow automated scale rendering by reading the values of the image graph. No user input
should be required for this feature.
1.2.3 Data Point Selection
Data shapes
o All distinct marker shapes.
Graph Types
o The solution should be able to work on all graph types.
Detect the graph artifacts, suggest suitable data points, and calculate their coordinates
automatically.
1.2.4 Data Persistence
o Persist all extracted data in MySQL/Sqlite/MongoDB.
1.2.5 Batch Processing
Batch Uploading Images
Batch Preprocessing
Automated Axis selection and Scaling
Automated Datapoint Selection/Detection
Tools:
Languages: Python, PHP, C/C++
IDE: IDE of choice
OS: Linux/Window of Choice
Graph Repository: any, Example : https://github.com/JasonObeid/Chart2TextImages
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Online Daily Prize Draw System with Fraud Detection
Project Domain / Category
Data Science / Machine Learning
Abstract / Introduction:
We propose the development of an online platform that facilitates a daily prize draw for a
committee of 10,000 participants, each contributing 100 PKR per day. The system will announce a
daily winner who will receive a cash prize of 10,00,000 PKR. The platform will handle user
management, prize distribution, and ensure transparency in the process. In addition, we will
integrate a fraud detection module that will be trained by users on publicly available datasets, such
as Credit Card Fraud Detection. The goal is to create an engaging, fair, and secure system for
participants while also contributing to participant welfare.
Functional Requirements:
1) User Management:
Users will be able to create accounts with personal details, including name, address, email, and
phone number.
Admin functionalities will include creating, editing, and deleting user accounts.
2) Deposit and Participation:
Users will deposit 100 PKR per day, and the system will maintain their contribution records.
The system will automatically enter them into the daily prize draw.
3) Daily Winner Selection:
The system will randomly select a winner each day from the pool of participants.
The winner will receive 80% of the daily collected amount, i.e., 10,00,000 PKR.
4) Prize Distribution:
The system will calculate and deduct a 5% service charge from the daily prize amount.
The remaining 15% will be saved for the participant’s welfare fund.
5) Monthly Returns:
The system will provide the winner with a monthly return of 1,000 PKR along with the 10 PKR/day
deposit for a specified duration.
6) Transparency and Audit:
The system will ensure transparency in winner selection and fund management.
Audit logs and reports will be available for scrutiny.
7) Fraud Detection Module:
Users will have the opportunity to train the fraud detection module by providing it with publicly
available datasets, such as bank transaction data.
The module will use machine learning to detect potential fraud within the prize draw system.
Users’ input and training data will continuously improve the module’s accuracy.
7.1) Fraud Detection Module with “Credit Card Fraud Detection” Dataset:
For our fraud detection module, we will utilize publicly available datasets to train the system
effectively. Specifically, we will employ the “Credit Card Fraud Detection” dataset, which can be
accessed on Kaggle using the following link:
Dataset Kaggle: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
7.2) Deep Overview of the Module:
Our fraud detection module plays a critical role in maintaining the integrity and security of the daily
prize draw system. Users’ contributions and participation generate valuable data that our machine
learning model processes to identify potential fraudulent activities. This module operates as
follows:
A) Data Acquisition:
We will fetch and preprocess data from the “Credit Card Fraud Detection” dataset, which contains
both legitimate and fraudulent credit card transactions. The dataset includes features related to
transaction amounts, timestamps, and various anonymized attributes.
B) Model Training:
Machine learning algorithms, such as anomaly detection models or supervised classifiers, will be
used to train the fraud detection model on this dataset. The model will learn to distinguish
between legitimate and fraudulent transactions.
C) Continuous Learning:
The fraud detection module will continuously evolve and improve as more data is fed into it. User
input and ongoing training data will be integrated to enhance the model’s accuracy in identifying
potential fraud.
D) Real-time Monitoring:
The model will monitor daily prize draw transactions in real-time, evaluating each transaction
against the learned patterns of fraudulent behavior. Any anomalies or deviations from the learned
behavior will be flagged for further investigation.
E) Alerting and Reporting:
When potential fraudulent activity is detected, the system will generate alerts for administrators or
moderators to investigate further. Users will be encouraged to report any suspicious activity as
well.
Conclusion:
The proposed online daily prize draw system with an integrated user-trained fraud detection
module aims to create an exciting, transparent, and secure platform for participants while
contributing to their welfare. We believe that this project will provide added value and security,
and we look forward to your consideration and collaboration.
Tools:
Python: For machine learning, web scraping, and back-end development.
JavaScript: For front-end interactivity and real-time updates.
Frameworks and Libraries:
Django: A Python web framework for building the back end of the web application.
HTML: For structuring web content.
CSS: For styling and layout.
Bootstrap: A CSS framework for responsive web design.
Machine Learning:
scikit-learn: A Python library for machine learning and data analysis.
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Diabetes Prediction using classification method
Project Domain / Category
Machine learning, data science.
Abstract / Introduction
This model will help patient as well as doctors to diagnose that a patient has a diabetes or not. It
will be predicting the data on the basis of dataset. A detailed informative data is given which will be
used to train the model for prediction.
Functional Requirements:
Follow the given life cycle to develop this method.
https://www.javatpoint.com/machine-learning-life-cycle
Admin (Student) will perform all of these tasks (Functional Requirements).
Module:
Import Data: Import the dataset files in system. (first download data set from
https://www.kaggle.com/datasets/akhilalexander/diabeticprediction)
Display Data: Display the summary statistics, trends, patterns and insights on the data
visually by performing the EDA (Exploratory Data Analysis).
Pre-process the data
o Split the data into train (70% of given data set) and test (30% of given data set).
o Train the model using Neural Network (machine learning algorithm).
Testing: Apply test data on trained model for evaluation.
Training: train the data set for prediction.
Apply models: apply SVM, Decision tree, Logistic regression on the train data.
Results: Predict a patient has diabetics or not. Generate a confusion matrix to assess the
Accuracy, Precision, Recall, F1 score in the trained model.
Accuracy: Show which model give the high accuracy for prediction.
Save the model for future use.
Pre-requisite:
Note: In order to completely understand the machine learning and data science algorithms, watch
given tutorials and also google for better understanding.
o https://www.javatpoint.com/machine-learning
o https://ocw.vu.edu.pk/Videos.aspx?cat=Computer+Science%2fInformation+Technolo
gy+&course=CS607
o https://www.youtube.com/watch?v=_u-PaJCpwiU&list=PLu0W_9lII9ai6fAMHpacBmJONT7Y4BSG&index=1
o https://vulms.vu.edu.pk/Courses/CS607/Downloads/AI_Complete_handouts_for_Pri
nting.pdf
Dataset:
https://www.kaggle.com/datasets/akhilalexander/diabeticprediction)
Python Tutorials:
https://www.programiz.com/python-programming
https://www.tutorialspoint.com/python/index.htm
https://www.w3schools.com/python/
Machine Learning Tutorials:
https://machinelearningmastery.com/machine-learning-in-python-step-by-step/
https://www.geeksforgeeks.org/machine-learning-with-python/
https://www.youtube.com/watch?v=ZftI2fEz0Fw
https://www.simplilearn.com/10-algorithms-machine-learning-engineers-need-to-knowarticle
https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/
Tools:
Language: Python (Only python language)
Framework: Anaconda
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Digital Audio Forensics Using Artificial Intelligence
Project Domain / Category
AI/Deep Learning/Machine Learning
Abstract / Introduction
The disciplines of audio engineering, signal processing, and artificial intelligence are combined in the
emerging subject of digital audio forensics. The goal of this field is to analyze and verify the
authenticity of audio recordings. In this project, students will delve into the field of digital audio
forensics by applying AI approaches to discriminate between authentic and modified audio samples.
Students will get hands-on experience in dealing with audio data, recognizing speech features, and
developing machine-learning algorithms for audio analysis. Students will also gain an understanding
of how to analyze audio.
Helping Material:
Free course for “Audio Signal Processing for ML”:
https://youtu.be/iCwMQJnKk2c?si=Y06bzPADnJLqnSAZ
Fake Audio Example:
https://youtu.be/AmUC4m6w1wo?si=AvrFa6xz26WkD2sq
Audio Forensics:
https://youtu.be/kGnDhYIYc2g?si=QBxbnYChM41zd7-t
Prerequisites:
Basic knowledge of programming languages (Python preferred).
Familiarity with fundamental concepts of machine learning.
Understanding of audio processing fundamentals (preferable but not mandatory).
Functional Requirements:

User (App User):

Upload Audio Clips:
o Requirement: Users should be able to upload audio clips (real or suspected fake) to
the application interface.
Initiate Detection:
o Requirement: Users can initiate the detection process for uploaded audio clips by
triggering the neural network model.
View Results:
o Requirement: Users should receive clear and understandable results indicating
whether the audio clip is real or fake.
Provide Feedback:
o Requirement: Users may have the option to provide feedback on the accuracy of the
detection results to improve the system’s performance.

Admin/System (Neural Network Model):

Receive Audio Clips:
o Requirement: The neural network model should be able to receive audio clips
uploaded by users for analysis.
Process Audio Clips:
o Requirement: The model should process audio clips using appropriate feature
extraction methods and machine learning algorithms to differentiate between real
and fake audio.
Generate Detection Results:
o Requirement: The model should generate accurate detection results, indicating
whether the provided audio clip is real or fake.
Tools:
● Python (programming language)
● Keras (API)
● Tensorflow (open source software library for machine learning) or pytorch
● Jupyter Notebook (open source web application)
● Matplotlib (library)
● Numpy (library for the python)
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Fraud Detection System in Blockchain
Project Domain / Category
Blockchain / Machine Learning
Abstract / Introduction
Recently, blockchain technology has appeared as a powerful decentralized tool for data integrity
protection. However, blockchain itself can be the target of many cyber threats.
Blockchain technology is integrated with machine-learning algorithms to detect fraudulent
transactions in the Bitcoin network.
The goal of this project is to develop a machine-learning app. That distinguishes between normal and
abnormal node behavior in the blockchain using a machine-learning algorithm. In this project, a
Support Vector Machine algorithm (SVM) will be implemented to detect outliers in blockchain
transactions.
Functional Requirements:
The user of the application performs the following tasks.

The user will log in to the application and download the given dataset that contains the
blockchain historical data. (Link will be provided)
Prepare the data for the model.
Split the data into train and test sets.
Build the SVM model.
Fit the train data to the model.
Predict the test data.
Evaluate the model.
Print the results.
Tools:
Python (programming language)
Scikit-learn (Library)
Jupyter Notebook (open-source web application) or Google Colab
Matplotlib (library)
Numpy (library for the python)
Kaggle
Tutorials links:
https://www.datacamp.com/tutorial/machine-learning-python
https://www.edureka.co/blog/support-vector-machine-in-python/#usecase
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Implementing Assessment Master through Machine Learning
Project Domain / Category
Machine Learning and Web application
Abstract/Introduction
Assessing students at various cognitive levels can help to achieve better learning consequences in
online learning contexts. Elegant education plays a key role in goal-based assessment approaches
intending to evaluate student learning rather than just assigning grades. In this project, students will
have to develop a test assessment master system by utilizing machine learning approaches.
Functional Requirements:
The following steps should be taken while developing project functionality.
The application should have an interface that will select the computer science relevant course
(any course that has 12 topics covered). The application should have test items that should be
relevant to each topic.
The application should have test records of Question stem and key according to the lecture.
The application is expected to add cognitive levels of item development like using revised
bloom taxonomy.
The application should have the assessment that will be conducted online as per evaluation
criteria.
Result analysis should be developed and executed to determine difficulty level measurement,
index of discrimination measurement, effectiveness of distraction and internal coherence by
classification and clustering machine learning approach.
Note: Skype sessions must be attended to communicate with the supervisor about discussion
otherwise the project will not be accepted.
Tools/language: Python programming language
Prerequisite: For project problem concepts, students will be expected to cover a short course
relevant to the machine learning concepts listed in addition to SRS and initial design documentation.
In addition, course links will be provided during Skype sessions.
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Machine Learning based E-commerce Product Recommendation System and Web Scrapper
Project Domain / Category
Machine Learning
Abstract / Introduction
We propose the development of a Python-based web application for e-commerce stores that aims
to assist store owners in finding the best products to sell on their platforms. This project leverages
web scraping to collect data from external e-commerce stores, curates and maintains a dataset, and
employs machine learning techniques such as linear regression to provide personalized product
recommendations based on user buying patterns, date, price, ratings, and more. The core objective
is to offer a comprehensive tool for e-commerce businesses to optimize their product offerings and
enhance customer satisfaction.
FUNCTIONAL REQUIREMENTS:
Data Collection: Develop a web scraper to gather data from various e-commerce stores,
including product details, user ratings, pricing information, and sales history. Comply with
data protection and privacy regulations, in data collection and user interaction. Respect the
terms of service of the e-commerce stores during web scraping.
Data Preprocessing: Clean and preprocess the scraped data, handling missing values,
duplicates, and converting it into a structured format. The classification will mainly focus on
user’s ratings and number of users rated so you have to preprocess and arrange your data
accordingly.
Dataset Management: Maintain an up-to-date dataset that is refreshed on a weekly basis.
Ensure a minimum of 100 entries for each product category for effective training.
Machine Learning Model: Implement Machine Learning (ML) supervised algorithms to train
a recommendation system based on . The model will take into account user buying patterns,
product attributes, historical data, and customer reviews. Linear regression technique can be
used to train model and to predict ratings for products. The model is then used to make
recommendations to users based on their predicted ratings however you can use any ML
technique of your choice.
User Interface: Develop a user-friendly web interface that allows e-commerce store owners
to input their preferences, product categories, and other relevant parameters.
Recommendation System: Provide personalized product recommendations to store owners
based on their specified criteria (price, category, location, user rating, no. of purchases etc.).
Recommendations will be generated for specific product categories based on the criteria
mentioned by the user and and most suitable products will be selected for recommendation.
Log creation of predicted results: Create a log in Excel or any database so that users can use
the already provided results and filter them out based on their criteria.
Feedback Mechanism: Implement a feedback system for users to provide insights, enhancing
the model over time.
This system will have following users:
⚫ Admin
⚫ User
Admin Functionality
⚫ Data Collection
⚫ Data Preprocessing
⚫ Dataset Management
⚫ Feedback Management
⚫ User Management
User Functionality
⚫ Providing specific criteria to system (Category, Price, Location, etc.) to get most
recommended products
⚫ Give feedback about the prediction
⚫ Search already most recommended products in this category and filter them out.
TOOLS:
Programming Language: Python
Web Scraping: Utilize web scraping libraries (e.g., Beautiful Soup, Scrapy) to collect data from
external e-commerce stores.
Machine Learning: Implement machine learning algorithms for recommendation, considering
user buying patterns, product attributes, and reviews.
Web Framework: Develop a web application using a Python web framework (e.g., Django or
Flask) for user interaction.
Database: Use a database system (e.g., PostgreSQL, MySQL) or Excel sheet to store and
manage the collected data.
Frontend Technologies: HTML, CSS, and JavaScript for the user interface.
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Multilingual Identifier
Project Domain:
Machine learning/NLP
Abstract:
The goal of this project is to develop a Multilingual Identification System that can accurately
determine the language of a given text. It is quite difficult to identify the language in various
applications, including multilingual content processing, global business analytics, and social media
monitoring. The proposed system will use natural language processing (NLP) techniques and machine
learning algorithms to achieve accurate and efficient language identification.
Functional Requirements:
Admin (Student) will perform all these (Functional Requirements) tasks.
The application should have evaluation criteria that should be developed through machine
learning.
Implement preprocessing techniques to clean and standardize the text data.
Extract relevant features from the text, considering character n-grams, word
frequencies, or embeddings.
Evaluate and select appropriate machine learning models for language identification.
Experiment with models such as Support Vector Machines (SVM), Naive Bayes, and
deep learning approaches like recurrent or transformer-based architectures.
Train the selected models on the given dataset.
Implement cross-validation to assess the model’s performance and generalization on
unseen data.
Utilize appropriate evaluation metrics such as accuracy, precision, recall, and F1
score.
Develop a user-friendly interface for the Language Identification System.
Fine-tune the model based on performance feedback.
10.Implement optimization techniques to enhance the efficiency and speed of the
language identification system.
Dataset:
https://www.kaggle.com/datasets/basilb2s/language-detection
Helping material:
NLP:
https://www.analyticsvidhya.com/blog/2021/03/language-detection-using-natural-languageprocessing/
https://www.sciencedirect.com/science/article/pii/S1319157821001804
Python
https://www.python.org/
https://www.w3schools.com/python/
https://www.tutorialspoint.com/python/index.htm
Feature Extraction Method:
https://towardsdatascience.com/feature-extraction-techniques-d619b56e31be
https://www.analyticsvidhya.com/blog/2021/04/guide-for-feature-extraction-techniques/
https://towardsdatascience.com/tf-idf-for-document-ranking-from-scratch-in-python-on-realworld-dataset-796d339a4089
https://www.analyticsvidhya.com/blog/2021/07/feature-extraction-and-embeddings-in-nlp-abeginners-guide-to-understand-natural-language-processing/
http://uc-r.github.io/creating-text-features
Machine Learning Techniques:
https://towardsdatascience.com/machine-learning-an-introduction-23b84d51e6d0
https://towardsdatascience.com/top-10-algorithms-for-machine-learning-beginners-149374935f3c
https://towardsdatascience.com/10-machine-learning-methods-that-every-data-scientist-shouldknow-3cc96e0eeee9
https://towardsdatascience.com/machine-learning-classifiers-a5cc4e1b0623
https://www.youtube.com/watch?v=fG4e4TUrJ3E
https://www.youtube.com/watch?v=7eh4d6sabA0
Tools:
Android Studio, Java, Python, Anaconda, OpenCV, TenserFlow, Keras.
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Named Entity Recognition System using Deep Learning
Project Domain / Category
Natural Language Processing/Deep Learning
Abstract / Introduction
Named Entity Recognition (NER) is a fundamental task in natural language processing (NLP) that
involves identifying and classifying named entities in text. Named entities are real-world objects,
such as people, organizations, locations, dates, and times. NER has a wide range of applications,
including information extraction, machine translation, question answering, and text
summarization.
The admin (student) will develop a system to detect Named entity and find accuracy by applying
appropriate deep learning techniques for Named entity recognition. The system will also compare
which techniques are best for Named entity recognition and why.
Functional Requirements:
Admin (Student) will perform all the following tasks.
Data Annotation: Annotate dataset for named entities and preprocess the text data. There
will be following tags for dataset (ORGANIZATION, PERSON, LOCATION, DATE, TIME,
MONEY, PERCENT, FACILITY, GPE).
Model Selection and Development: Investigate NER models and select an appropriate
architecture (e.g., BiLSTM-CRF, LSTM, CRF, BERT-based models) for development.
Train & Test Data: Split data into 70% training and 30% testing data sets.
Train the selected model on the annotated dataset to learn to recognize named entities
effectively.
Evaluation and Fine-tuning: Assess the model’s performance using standard NER evaluation
metrics (e.g., F1-score, precision, recall) and fine-tune the model for improved accuracy.
Confusion Matrix: Create a confusion matrix table to describe the performance of a
classification model.
Accuracy Evaluation: Find the accuracy of all techniques and compare their accuracy.
*This project will also tell us which machine learning technique is better to detect Named
entity.
Named Entity Categorization: Develop a system that not only recognizes entities but also
categorizes them into predefined categories (e.g., person, organization, location).
Integration with Applications: Build an interface for users to input text and integrate the
NER system into applications that demonstrate its utility.
Dataset:
https://drive.google.com/file/d/1oR5fq7VbUBPIVX64SBmY19LFcnVK0cYu/view?usp=drive_link
*You must use your VU email id to access/download the dataset.
Tools:

Python
jupyter notebook
Colab
PyQt
wxPython
Tkinter
Kivy
PySimpleGUI
Prerequisite:
Artificial Intelligence, Machine Learning, and Natural Language Processing Concepts,
“Admin (student) s will cover a short course relevant to the mentioned concepts besides SRS and
Design initial documentation or see the links below.”
Helping Material
Python
https://www.python.org/
https://www.w3schools.com/python/
https://www.tutorialspoint.com/python/index.htm
Deep Learning:
https://www.tutorialspoint.com/python_deep_learning/index.htm
https://www.tutorialspoint.com/deep-learning-tutorials/index.asp
https://www.youtube.com/watch?v=VyWAvY2CF9c
https://www.youtube.com/watch?v=6M5VXKLf4D4
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Machine Learning-Based Doctor Recommender System
PROJECT CATEGORY/DOMAIN
Machine Learning-Based Project
Abstract/Introduction
The goal of this project is to develop a machine learning-based doctor recommender system that
helps users find the most suitable doctors based on various attributes. The system will utilize web
scraping techniques to collect data from the oladoc.com website, which will then be used to create
a comprehensive data set. This data set will contain relevant fields such as “number of patients,”
“fee,” “specialty,” “years of experience,” “waiting time,” “rating,” “doctor name,” “location,” and
“highest degree” etc.
Proposed System
The doctor recommender system will focus on delivering high-quality recommendations by
considering the “satisfaction level” of each doctor, although this satisfaction level will not be included
in the data set. Doctors will only be recommended if their satisfaction level exceeds 95%.
The Machine Learning-Based Doctor Recommender System aims to enhance the process of finding
the right doctor for patients. By collecting and analyzing data from oladoc.com, we will create a
robust data set and a recommendation system that considers the doctors’ attributes and satisfaction
levels. This project addresses a real-world problem and has the potential to improve the healthcare
experience for users.
Project Functional Requirements

Data Collection: Implement a web scraping mechanism using Beautiful Soup in Python to extract
relevant data from oladoc.com, including the specified attributes.
Data Preprocessing: Clean, normalize, and transform the collected data to create a high-quality
data set. Handle missing values, encode categorical variables, and prepare the data for machine
learning.
Data-set Creation: Build a data set with a minimum of 100 records for each specialty, ensuring
diversity and accuracy in the data.
Machine Learning Model: Develop a binary classification model that predicts whether a doctor is
recommended or not based on the specified attributes, with a focus on doctors’ satisfaction levels.
Model Training: Train and fine-tune the machine learning model using the created data set.
Recommendation System: Create a user-friendly recommendation system that takes user
preferences and requirements into account. The system should provide a list of recommended
doctors based on input criteria.
User Interface: Design a user interface that allows users to interact with the recommendation
system and input their preferences.
Evaluation: Evaluate the model’s performance using appropriate metrics and validate the
recommendation system’s effectiveness in providing suitable doctor recommendations.
There are two actors for this project:
Admin
User \ Patient
Functional Requirements of Admin
⚫ Data Collection
⚫ Data Preprocessing
⚫ Data-set Creation
⚫ Model Training
Functional Requirements of User \ Patient
⚫ Give his \ preferences as input to the system to find a doctor.
⚫ Give feedback about the result of the model.
⚫ Rate the prediction model.
Tools:
The following resources/Tools are required for the successful completion of the project:
Python programming environment with necessary libraries (Beautiful Soup, sci-kit-learn,
Flask, etc.).
Access to oladoc.com or relevant web data sources.
Supervisor:
Name: Komal Khawar
Email ID: komal.khawer@vu.edu.pk
Skype ID: kom.kk
Sentiment Analysis of Hotel Reviews and Recommendation
Project Domain / Category
Sentiment Analysis, NLP / Software Application
Abstract / Introduction
Everyone has an opinion about the things they use in their daily life, similarly in this age of digitization
users share their views about products, hotels, news and other topics on web in the form of reviews,
blogs and comments etc. Many user read those reviews before making a decision like to but a
product, watching a movie, booking a hotel or going to a place for outing. Review contains user’s
opinion about product, event, place or topic, and it is difficult for web users to read and understand
contents from large number of available reviews. Opinion Mining for Hotel Review system that
detects hidden sentiments in feedback of the customer and rates the feedback accordingly.
The System takes review of various hotels based on the opinion of different user and will specify
whether the specific hotel is good, bad, or worst. For this you have to create database of sentiment
based keywords along with positivity or negativity weight in database and then based on these
sentiment keywords mined in user review is ranked. System will use database and will match the
review with the keywords in database and will rank the review. System will rate the hotel based on
the rank of review. The role of the admin is to add keywords in database. This application is useful
for those who are going to visit a new place and those who travel often. Using this application User
will get to know which hotel is best and suitable for them. Users can decide which hotel to
accommodate before they reach the place.
Functional Requirements:
In this project you are required to develop an application to recommend hotels to the user based on
their requirements.
Data Set:
First you will be provided with the incomplete data set and you have to complete and refine the
dataset. You have to take the reviews of relevant hotel form the Tripadvisor, link of reviews page of
each hotel is already provided. You have to go to that page and copy the reviews into your dataset
file. Make sure you have both the review text and corresponding ratings or labels (e.g., star ratings
or sentiment labels).

Data Preprocessing:
Clean and preprocess the data to prepare it for sentiment analysis. You have to perform following
preprocessing steps:
Text normalization: Lowercasing, removing special characters.
Tokenization: Splitting text into individual words or tokens.
Stop word removal: Eliminating common words that do not carry significant sentiment
information.
Stemming or Lemmatization: Reducing words to their base form.
Sentiment Analysis:
The system will analyze the prepared dataset by performing the following tasks.

Extract the positive, negative and neutral reviews about each hotel.
Create a Word Cloud for positive, negative and neutral words for each hotel.
Calculate the sentiment score for reviews of each hotel.
Assign the sentiment label to each hotel.
Identify which hotel has most positive reviews.
Identify which hotel has most negative reviews.
Identity the best and worst hotel based on food, location, hotel services, view, Price and
payment policies, and availability of rooms.
You need to create graphs, bar charts etc. using R tool.
Hotel Recommendation:
Using this system one will be able to select/book hotel according to their requirements. After
the analysis the system will give list of hotel best, average or bad hotels.
System ranks the reviews based on the weightage of the keywords in database.
Important and useful information can be extracted from reviews through opinion mining and
summarization process
Note:
More Functional requirements can be added in each deliverable.
A detailed document for each deliverable, tools, and libraries to be used will be provided
later after selection of project.
Useful Link:
https://www.kaggle.com/datasets/joebeachcapital/hotel-reviews/data
https://www.tripadvisor.com/
Tools:
Windows OS
R software
Python
Online sentiment analysis tool
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Sentiment Analysis using Machine Learning for Roman Urdu
Project Domain / Category
Data Science/Machine Learning
Abstract / Introduction
In a world driven by digital communication, understanding the sentiments expressed in text has
become a critical aspect of decision-making, whether it’s for business intelligence, social
monitoring, or customer service. However, sentiment analysis in languages other than English,
especially in non-Latin scripts, poses unique challenges. This project, titled “Sentiment Analysis
using Machine Learning for Roman Urdu,” addresses these challenges and aims to develop a
machine learning system capable of accurately classifying text written in Roman Urdu into positive
or negative sentiments.
Functional Requirements:
Admin (Student) will perform all these (Functional Requirements) tasks.

Data-Collection

For this project, student will collect data from any social media platform (such as YouTube,
Facebook, Twitter, or Instagram) to detect abusive language. Dataset must contain at least
5000 comments. The data set is shared in the link below for the idea.

Pre-processing

As most of the data in the real world are incomplete containing noisy and missing values.
Therefore student have to apply pre-processing on data. In pre-processing, student will
normalize the data set, handle stop words, missing values, and noise & outliers, and
remove duplicate values.

Feature Extraction

After the pre-processing step, student will apply the feature extraction method. Student
can use Term Frequency – Inverse Document Frequency (TF-IDF), Uni-Gram (1-Gram), BiGrams (2-Grams), Tri-Grams (3-Grams), or N-Grams feature extraction method.

Train & Test Data

Split data into 75% training and 25% testing data sets.

Machine learning Techniques

Student must use at least three classifiers/models (e.g. Naïve Bayes, Naïve Bayes
Multinomial, Poly Kernel, RBF Kernel, Decision Tree, Random Tree or Random Forest Tree
etc.) of three different machine learning techniques/algorithms.

Confusion Matrix

Create a confusion matrix table to describe the performance of a classification model.

Accuracy Evaluation

Find the accuracy of all techniques and compare their accuracy.
This project will also tell us which machine learning technique is better to detect abusive
language.
Tools/Techniques:
Anaconda (Python distribution platform)
Jupiter Notebook (Open source web application)
Python (programming language)
Machine Learning (Technique)
Prerequisite:
Artificial Intelligence, Machine Learning, and Natural Language Processing Concepts,
“Students will cover a short course relevant to the mentioned concepts besides SRS and Design initial
documentation or see the links below.”
Helping Material:
Python:
https://www.python.org/
https://www.w3schools.com/python/
https://www.tutorialspoint.com/python/index.htm
Feature Extraction Method:
https://towardsdatascience.com/feature-extraction-techniques-d619b56e31be
https://www.analyticsvidhya.com/blog/2021/04/guide-for-feature-extraction-techniques/
https://towardsdatascience.com/tf-idf-for-document-ranking-from-scratch-in-python-on-realworld-dataset-796d339a4089
https://www.analyticsvidhya.com/blog/2021/07/feature-extraction-and-embeddings-in-nlp-abeginners-guide-to-understand-natural-language-processing/
http://uc-r.github.io/creating-text-features
Machine Learning Techniques:
https://towardsdatascience.com/machine-learning-an-introduction-23b84d51e6d0
https://towardsdatascience.com/top-10-algorithms-for-machine-learning-beginners-149374935f3c
https://towardsdatascience.com/10-machine-learning-methods-that-every-data-scientist-shouldknow-3cc96e0eeee9
https://towardsdatascience.com/machine-learning-classifiers-a5cc4e1b0623
https://www.youtube.com/watch?v=fG4e4TUrJ3E
https://www.youtube.com/watch?v=7eh4d6sabA0
Dataset:
https://drive.google.com/file/d/1Rz97GPT1R5t_aleNBd7T2QEwUlzSJUbj/view?usp=sharing
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Student Feedback Analysis using Python
Domain/Category
AI/ML
Abstract
Evaluation of a class and the instructor by students towards the end of each semester has now
become a norm in higher education institutions. The prime purpose of gathering students feedback
is to assess and improve the teaching quality. The feedback helps instructors to refine their teaching
methodology and enables them to better understand the students perspective Course and Teacher
evaluation at the end of a semester by the students has now become a custom in higher education
institutions. The major purpose of this activity is to assess and improve the teaching quality. This
feedback can help teachers to refine their teaching methodology and understand the student’s
perspective better. Educational data mining can facilitates educational institutions in discovering
useful patterns and apply them to improve the overall quality of education. Analysis of student’s
feedback can help institutions improve student’s learning abilities in the classroom. This pythonbased Student Feedback Review System helps in identifying sentiments from student reviews, and it
further helps in generating the summary of feedback. India possesses the second largest educational
system in the world. Government educational agencies like UGC and AICTE are placing a lot of
emphasis on institutions to maintain Student Response Systems and Student Feedback Systems and
insist them to take necessary measures based on the feedback from the students to improve the
quality of education. It is crucial to understand the patterns generated by student feedback data to
effectively improve the performance of the institution. There is also a requirement to automate the
student feedback system in order to handle a large amount of data and analyse them effectively
India possesses the second largest educational system in the world. Government educational
agencies like UGC and AICTE are placing a lot of emphasis on institutions to maintain Student
Response Systems and Student Feedback Systems and insist them to take necessary measures based
on the feedback from the students to improve the quality of education. It is crucial to understand
the patterns generated by student feedback data to effectively improve the performance of the
institution. There is also a requirement to automate the student feedback system in order to handle
a large amount of data and analyse them effectively India possesses the second largest educational
system in the world. Government educational agencies like UGC and AICTE are placing a lot of
emphasis on institutions to maintain Student Response Systems and Student Feedback Systems and
insist them to take necessary measures based on the feedback from the students to improve the
quality of education. It is crucial to understand the patterns generated by student feedback data to
effectively improve the performance of the institution. There is also a requirement to automate the
student feedback system in order to handle a large amount of data and analyse them effectively
Functional Requirements
The system has 2 major modules with their sub-modules as follows:
Admin:
The admin can log in to the system using their username and password.
They can view, add, update or delete Course, Subject and Faculty from the system and they
can assign subjects the faculty.
The admin can view the feedback summary and can apply a filter to sort by course.
Admin can search faculty by their names and also view the faculty list.
They can view a question wise feedback list and average ratings.
Faculty:
The faculty can log in to the system using a username and password.
The faculty can apply filters by course and can view the summary of the feedback and different
parameters.
Data Set
Prepare a dataset for Computer Science courses for the BSCS Degree Program. One faculty member
can teach more than one course at a time. The format of the evaluations forms will be provided and
students need to complete the dataset for all the courses and feed into the application. Convert the
data file into csv file.
Sentiment Analysis
The system will analyse the prepared dataset by performing the following tasks.
Apply pre-processing on data by cleaning and handling contractions, converting text to lower
case, removing stop words, punctuations, hashtags, numbers/digits and special characters
and then tokenizing and lemmatizing the text.
Calculate the sentiment score and subjective score for each feedback comment.
Assign the sentiment label to each record.
Create a Word Cloud for positive, negative and neutral words for each course.
Analyse the frequency of specific keywords or phrases in the feedback.
Text clustering to group similar feedback together.
Identify which faculty member has most positive comments.
Which course has the most negative students?
Students are satisfied with which course content?
According to the students, which is the most annoying faculty member?
Identify the most difficult course.
Calculate the Summary of the course wise feedback regarding teaching methodology.
You need to create graphs, bar charts etc. using R tool.
The Admin and faculty members will be able to view the question wise analysis.
Software Requirements:
Windows Xp, Windows 7(ultimate, enterprise)
MS Excel
Visual studio 2010
Python
R Software
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IoT-Enabled Birds Incubator with Sensors Integration
Project Domain / Category
Digital Logic Design
Abstract / Introduction
We propose the development of an IoT-enabled birds’ incubator with a comprehensive sensor suite,
including light, temperature, humidity, and an integrated camera for real-time monitoring. This
incubator will provide a controlled and monitored environment for avian breeding, enabling bird
enthusiasts, breeders, and researchers to maintain optimal conditions for hatching and nurturing
bird eggs.
The system will be designed to fetch sensor data through Wi-Fi or GSM, with a dedicated Android
application for real-time monitoring and control of the incubation environment.
Additionally, the sensors in the incubator can be preset to maintain specific environmental
conditions, such as a consistent temperature or humidity level.
Project Overview
Objectives

Develop an IoT-enabled bird incubator equipped with essential sensors (light, temperature,
humidity) and an integrated camera for real-time monitoring.
Create an Android application for remote monitoring and control of the incubator.
Ensure real-time data feedback and alerts to users for precise management of the
incubation environment.
Implement options for data communication through Wi-Fi or GSM for broader connectivity.
Enable preset settings on the sensors to maintain specific environmental conditions,
facilitating precise bird breeding.
Functional Requirements:
Our Complete System will have:
IoT-Enabled Incubator
The incubator will feature the following components:
Temperature Sensor: A high-precision temperature sensor to monitor and maintain the
incubator’s temperature within the desired range. Settings can be preset to maintain specific
temperature levels.
Humidity Sensor: A humidity sensor to regulate the humidity level and ensure optimal
conditions for hatching. Humidity presets can be established.
Light Sensor: A light sensor to monitor lighting conditions, with the ability to simulate daynight cycles.
Camera Module: An integrated camera for real-time video monitoring of the incubation
environment.
Microcontroller: A microcontroller (e.g., Arduino or Raspberry Pi) to control the sensors,
camera, and incubator environment.
Heating and Cooling System: A heating element and cooling mechanism to adjust the
temperature as needed.
Communication Module: Wi-Fi and GSM modules for versatile data communication options.
Android Application
The Android application will provide the following features:
Real-time Monitoring: Display real-time sensor data, including temperature, humidity, light
levels, and live video feed from the integrated camera.
Remote Control: Allow users to adjust temperature, humidity, and light settings remotely.
Alerts and Notifications: Send alerts and notifications to users in case of deviations from set
parameters.
Data Logging: Store historical data for analysis and research purposes.
User Profiles: Enable multiple users to access the incubator with varying levels of control.
Hardware Components:
Microcontroller: (e.g., Arduino, Raspberry Pi) – To control and manage the sensors and
various incubator functions.
Temperature Sensor: (e.g., DHT22, DS18B20) – To monitor and control the temperature
within the incubator.
Humidity Sensor: (e.g., DHT22, HIH-6130) – To monitor and control humidity levels within
the incubator.
Light Sensor: (e.g., LDR or light-dependent resistor) – To monitor lighting conditions, control
light levels, and simulate day-night cycles.
Camera Module: – An integrated camera for real-time video monitoring of the incubation
environment.
Heating and Cooling System: – A combination of heating elements (heaters) and cooling
mechanisms (fans or coolers) to regulate temperature as needed.
Communication Module: – Wi-Fi or GSM modules to enable data communication, remote
access, and control.
Power Supply: – Appropriate power supply components for the microcontroller, sensors,
heating/cooling systems, and communication modules.
Tools:
It is an open project. You can use any Mobile Application Development platform. You can use any
controller/any Single-Board Microcontroller kit.
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Smart Water Management System: IoT-Based Tank Monitoring and Pump Automation
Project Domain / Category
Internet of Things
Abstract / Introduction
Water is a valuable resource and an essential daily necessity in households. Maintaining the water
level in home tanks can be a challenging task, and the sudden depletion of water from taps,
particularly when guests are present, can lead to inconvenience. Manual water tank filling is not only
labor-intensive but also prone to water wastage due to overflow or damage to the pump when water
is unavailable. In light of these common household challenges, this project aims to create an IoTbased solution for automating the water tank monitoring, filling, and pump operation process.
Functional Requirements:
In this project, students are expected to develop a smart IoT solution using development boards,
sensors, and a mobile application. There are two main components of this project, each with its set
of essential functional requirements:
(a) Automated System: Automated system can be implemented on any IoT development boards and
shall work as
Continuously monitor the water level in the roof tank using sensors.
Automatically start the water pump when the water level falls below a predefined threshold
in the roof tank.
Monitor water flow in the pipe and stop the pump when there is no water flow (indicating
that the ground tank is empty).
Automatically stop the water pump when the water level rises above a predefined threshold
to prevent water overflow.
(b) Companion Mobile App: Companion mobile app that shall allow users to
Monitor current water level in the roof tank
Manually turn on/off the water pump from the app as and when desired.
Tools:
Students are free to choose any IoT development board (e.g., ESP, Raspberry Pi) and a mobile app
development platform that they are comfortable with. However, it is recommended to use the ESP32
for the hardware component (as it is cost-effective and suitable for the project) and Blynk for mobile
app development (known for its user-friendliness).
Important Notes:
This project combines both hardware and software components. Initially, students are
expected to create a working prototype using buckets and a 5V pump for safety.
The project can be further extended to work with a 220V pump using relays.
Enthusiastic students who can attend in-person meetings at the VU-Peshawar campus for
project updates and development progress are encouraged to take on this project.
Students are responsible for purchasing the necessary hardware components, and Virtual
University will not cover these costs.
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Brain Tumor Segmentation
Project Domain / Category
Artificial Intelligence/Image Processing
Abstract / Introduction
Image processing is a powerful field of study that has numerous real-world applications. It involves
the manipulation of digital images to extract useful information or enhance specific features. One
of the critical applications of image processing is medical image analysis, where it plays a pivotal
role in diagnosis, treatment, and research. In this project, we aim to explore the fascinating realm
of image processing and its applications in the healthcare domain, specifically in the context of
brain tumor segmentation.
This project centers on the realm of medical imaging, specifically the challenging task of brain
tumor segmentation using deep learning techniques. Brain tumors are abnormal growths of tissue
within the brain that can be cancerous or non-cancerous. Accurate and early diagnosis is essential
for timely treatment and improved patient outcomes.
Functional Requirements:
In this project, we will leverage image processing and deep learning techniques to address the
following objectives:
Data Collection and Preprocessing: Gather a diverse dataset of brain MRI scans, ensuring
data quality and integrity. Preprocess the images to enhance their suitability for further
analysis. Import the image dataset of Brain MRI scans from described link.
Dataset Splitting: To facilitate model training and evaluation, we will split the dataset into
distinct sets for training, validation, and testing. This step ensures that the deep learning
model’s performance is rigorously assessed and prevents overfitting.
Deep Learning Model Development: We will design, implement, and fine-tune deep
learning models, such U-Nets, to accurately segment brain tumors from MRI images.
Model Evaluation: We will establish robust evaluation metrics to assess the performance of
the deep learning models, ensuring that the segmentation results are precise and reliable.
DataSet: For this project you need to use BraTs2019 Dataset.
https://www.med.upenn.edu/cbica/brats2019/data.html
Important links and Tutorials:

Python
➢ https://www.w3schools.com/python/
➢ https://www.tutorialspoint.com/python/index.htm
Image processing
➢ https://regenerativetoday.com/some-basic-image-preprocessing-operationsfor-
➢ beginners-in-python/
➢ https://www.section.io/engineering-education/image-preprocessing-inpython/
➢ https://www.tensorflow.org/tutorials/load_data/images
Deep Learning
➢ https://www.simplilearn.com/tutorials/deep-learning-tutorial/guide-tobuilding-powerful-keras-image-classification-models
➢ https://www.analyticsvidhya.com/blog/2020/02/learn-image-classificationcnn-convolutional-neural-networks-3-datasets/
Tools:
Language: Python (Only python language)
Framework: Anaconda
IDE: JupyterNotebook, Pycharm, Spyder, Visual Studio Code, etc.
You can also use Google colab environment or google cloud.

Note: VU will not provide you any resources to buy any Software, Framework or any services if used
in this project. Student has to manage all the project on its own.
Kindly read the proposal carefully and decide if you have completely understood the project
requirements before selecting the project. Please feel free to discuss any project- related
questions before selecting it
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Detection of Outsiders in Live Video Using Pre-trained CNN
Project Domain/Category
Image Processing
Abstract / Introduction
Image processing is a dynamic field encompassing a range of techniques used to extract
meaningful information from images, contributing to improvements in various industries. While
image processing has been applied in fields like medical science, defense, and agriculture, we now
propose its application in a security and surveillance context. This project aims to develop an image
processing system using pre-trained Convolutional Neural Networks (CNN) to detect outsiders or
intruders in live video streams, with a focus on real-time detection and alerting.
The primary objective of this project is to create a robust system that can identify outsiders in
live video feeds. The functional requirements for achieving this are as follows:
Functional Requirements:

Gather a diverse dataset of live video streams, including normal scenarios and instances of
outsider presence. This dataset should mimic real-world settings where intrusion might occur.
Preprocess the video data to extract frames, reduce noise, and normalize images for
consistent analysis.
Utilize a pre-trained CNN model (e.g., VGG16, ResNet, or Inception) to identify outsiders in
the video streams.
Develop an algorithm that can process live video streams in real-time, extract frames, and
apply the pre-trained CNN model for outsider detection.
Implement an alerting mechanism, such as triggering alarms, sending notifications, or
integrating with a security system, to notify relevant personnel when an outsider is detected.
Create a user-friendly interface for users to interact with the system, view live video feeds,
and monitor alerts.
Test the system on a wide range of live video streams, including scenarios with varying lighting
conditions, weather, and camera angles. Evaluate the system’s accuracy, false positives, and
false negatives.
Continuously fine-tune the pre-trained CNN model using additional data and adapt to
changing conditions, aiming to enhance the system’s accuracy and adaptability.
Note: Virtual University of Pakistan will not provide any kind of hardware for this project, student
must arrange required hardware by himself/herself.
Tools & Technologies:
Preferred tool and technology: MATLAB (Any latest version of MATLAB)
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Image Enhancement/Restoration System for Restoring Old or Damaged Photographs
Project Domain / Category
Artificial Intelligence/Image Processing
Abstract / Introduction
In today’s digital age, preserving and restoring old or damaged photographs is an essential task for
archivists, historians, and individuals looking to relive cherished memories. Image enhancement
techniques play a crucial role in this process by removing noise, blur, and other imperfections. This
project aims to develop sophisticated algorithms for the automatic restoration of photographs,
making them clearer, crisper, and more visually appealing.
Image restoration attempts to restore images that have been degraded. It is used to recover original
image from degraded with prior knowledge of degradation process. It involves modelling of
degradation and applying the inverse process in order to recover the original image. Although the
restore image is not the original image, its approximation of actual image. Following image is used
to tell you about the concept of image restoration.
Objectives
Algorithm Development: Develop an image enhancement algorithms capable of addressing the
following imperfections: Noise reduction: Remove various types of noise, such as salt-and-pepper
noise, Poison noise, Gaussian noise, and speckle noise.
User-Friendly Interface: Create a user-friendly interface to enable non-technical users to apply
these algorithms to their photographs easily. This may include developing a desktop application
or a web-based tool. User can upload the distorted image and your system must be able to restore
that image.
Efficiency and Speed: Ensure that the algorithm is computationally efficient and capable of
processing large volumes of images quickly. This is particularly important for applications with
extensive image archives.
Methodology
Data Collection:
Gather a dataset of old or damaged photographs that represent the types of images you
intend to restore. Ensure that the dataset is diverse, in a suitable format, resolution for your
project and well-documented. The dataset should include images with salt-and-pepper noise,
Poisson noise, Gaussian noise, and speckle noise. Ensure the dataset includes both the
original, clean images, and their degraded counterparts.
Data Pre-processing:
In this step, you have to clean and prepare the data for analysis. Dataset can be pre-processed
by removing duplicates, organizing images, filtering, and resizing them if necessary.
Noise Analysis (if applicable):
Analyze the type and characteristics of noise present in the degraded images. Common types
of noise include salt-and-pepper, Gaussian, Poisson, and speckle noise.
Select Tools and Libraries:
Choose the appropriate image processing tools and libraries. Common choices include
OpenCV, MATLAB, Python (with libraries like Pillow and scikit-image), or specialized software
depending on your needs.
Research: Begin with an extensive review of existing image enhancement and restoration
techniques and identify the most effective and efficient methods.
Algorithm Selection:
Choose or design appropriate image enhancement and restoration algorithms. These may
include denoising, inpainting, deconvolution, color correction, and super-resolution methods.
Image Enhancement and Restoration:
Apply the selected algorithms to the damaged photographs to improve their quality. This step
may involve a combination of techniques for different types of damage.
Quality Assessment:
Evaluate the quality of the restored images using appropriate metrics. Compare the restored
images to the originals to ensure a visually pleasing result.
User Interface (UI) Design (if applicable):
If the project is intended for non-technical users, design an intuitive user interface for
uploading, processing, and downloading images.
10.Validation and Testing:
Test the restoration system on a separate validation dataset or unseen degraded images to
ensure it generalizes well to new data and performs consistently.
Helping Material:
https://www.coursera.org/projects/image-processing-with-python
https://www.classcentral.com/course/youtube-image-processing-with-python-54897
https://neptune.ai/blog/image-processing-python

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Brain Tumor Detection Through Transfer Learning
Project Domain / Category
Image processing
Abstract/Introduction
Brain tumors are a critical health concern with potentially life-threatening consequences. Early and
accurate detection of brain tumors is crucial for timely medical intervention. This project proposal
aims to explore the application of deep learning techniques, specifically transfer learning, to improve
the efficiency and accuracy of brain tumor detection in medical images.The proposed research
project focuses on the application of transfer learning and deep learning techniques to enhance brain
tumor detection in medical images. By leveraging pre-trained models and fine-tuning them for this
specific task, this research aims to contribute to early and accurate diagnosis of brain tumors,
ultimately improving patient outcomes and healthcare practices.
This project involves the following steps:
Collect a diverse dataset of medical images, including MRI.You may use the provided link for the
dataset.
Preprocess the dataset, ensuring uniformity in terms of image size, format, and quality.
Select pre-trained deep learning models suitable for transfer learning, such as including Visual
Geometry Group 16 (VGG16), InceptionV3, VGG19, ResNet50, InceptionResNetV2, and Xception.
You should select two well-established pre-trained models.
Fine-tune the selected model architecture for brain tumor detection.
Train the deep learning model on the labeled medical image dataset, using the knowledge
transferred from the pre-trained model.
Evaluate the performance of the transfer learning-based model on a separate test dataset,
measuring metrics like sensitivity, specificity, and ROC curves.
Functional Requirements:
Your system must fulfill the following requirements:
⚫ Preprocess the data, ensuring uniformity in terms of image size, format, and quality.
⚫ In the preprocessing stage, it is essential to address and eliminate any noise present in the
datasets to enhance the accuracy of the model.
⚫ Develop and fine-tune deep learning models for brain tumor detection by leveraging transfer
learning from pre-trained models.
⚫ Evaluate the performance of transfer learning-based models on a diverse dataset of medical
images, considering factors such as sensitivity, specificity, and false-positive rates.
⚫ Perform comparative analysis of two selected transfer learning models applied to the task of
brain tumor detection, with the objective of selecting the most effective model for this critical
application.
Tools:
The following tools can be used for developing the above project:
➢ Anaconda
➢ Numpy
➢ Jupiter Lab
➢ Google Colab
Dataset Download Link:
You can download the dataset from:
Brain Tumor MRI Dataset:
https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset
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Real-time Facial Landmark Detection
Project Domain / Category
Image Processing
Abstract / Introduction
Facial landmark detection is a computer vision task in which a model needs to predict key points
representing regions or landmarks on a human’s face – eyes, nose, lips, and others. Facial landmark
detection is a base task which can be used to perform other computer vision tasks, including head
pose estimation, identifying gaze direction, detecting facial gestures, and swapping faces.
This project includes developing a real-time facial landmark detection system using Python. This
project will involve identifying key points on a person’s face, such as the eyes, nose, and lips, in
images. This project will provide a valuable tool for various computer vision applications, making it
easier to detect and analyze facial landmarks in real-time, opening the door to a wide range of
possibilities in fields like biometrics, human-computer interaction, and emotion recognition.
Functional Requirements:
Data Collection
Gather a dataset of facial images with annotated landmarks. You can use publicly available
datasets like 300-W, COFW, or create your own dataset.
Preprocessing
Resize and Normalize the data to enhance the accuracy of landmark detection.
Augment the dataset with transformations like rotation, scaling, and flipping for better
model generalization.
Model Selection
Choose a deep learning model architecture suitable for facial landmark detection, such as a
Convolutional Neural Network (CNN). Pre-trained transfer learning models like ResNet or
MobileNet can also be used.
Data Splitting:
Split the dataset into training, validation, and test sets to train and evaluate the model’s
performance.
Model Training
Train the selected model using the training dataset. The loss function should be designed to
minimize the difference between predicted and ground-truth landmark locations.
Validation and Hyperparameter Tuning
Validate the model’s performance using the validation set and fine-tune hyperparameters
like learning rate, batch size, and network architecture to achieve the best results.
Testing and Evaluation
Assess the model’s accuracy on the test dataset to ensure it generalizes well to unseen
data. Confusion Metrics can be used to evaluate performance.
Real-time Implementation
Integrate the trained model into a real-time Python application using libraries like OpenCV
for video capture and display. The application should continuously detect facial landmarks
from a webcam feed.
Face Recognition
Implement face recognition using the detected facial landmarks. You can use techniques
like face embeddings or existing libraries like OpenCV or dlib for face recognition.
10.User Interface
Create a user-friendly interface for the application, allowing users to select functionalities of
face recognition.
Important links and Tutorials:
⚫ Python
⚫ https://www.w3schools.com/python/
⚫ https://www.tutorialspoint.com/python/index.htm
⚫ Image processing
⚫ https://regenerativetoday.com/some-basic-image-preprocessing-operations-forbeginners-in-python/
⚫ https://www.section.io/engineering-education/image-preprocessing-in-python/
⚫ https://www.tensorflow.org/tutorials/load_data/images
⚫ Deep Learning
⚫ https://www.simplilearn.com/tutorials/deep-learning-tutorial/guide-to-buildingpowerful-keras-image-classification-models
⚫ https://www.analyticsvidhya.com/blog/2020/02/learn-image-classification-cnnconvolutional-neural-networks-3-datasets/
⚫ Transfer learning
⚫ https://towardsdatascience.com/transfer-learning-for-image-classification-usingtensorflow-71c359b56673
⚫ https://www.kaggle.com/code/kmkarakaya/transfer-learning-for-imageclassification/notebook
Hardware Requirement:
⚫ Processor –Core i3
⚫ Hard Disk – 160 GB
⚫ Memory – 12GB RAM
⚫ Monitor
Tools:
Language: Python (Only python language)
Framework: Anaconda
IDE: JupyterNotebook, Pycharm, Spyder, Visual Studio Code, etc.
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Android Application for Women’s Safety
Project Domain / Category
Mobile App / Cloud Computing
Abstract / Introduction
Android application for women’s safety is a mobile application developed with the primary objective
of ensuring the safety and security of women in situations where they feel threatened or insecure.
This is more than just an application; it’s a movement towards a safer world for women.
This application addresses real-world security challenges and provides peace of mind. When
activated by the user(women), it will immediately connect her to the nearest police station and
notifying her trusted contacts i.e., parents/guardians with real-time location information.
Functional Requirements:
There should be separate interfaces for women, police representatives and
parents/guardians.
User registration and login: The application should allow all types of users to create an account
and log in using their credentials.
Different interfaces should open based on the type of user.
Emergency Button: The application must have a prominent and easily accessible emergency
button on the user interface.
a. When the emergency button activated, application send notification to nearest police
station and trusted contacts i.e. parents/guardians.
b. The application must access the device’s GPS to determine the user’s real-time
location.
c. the application should continuously share the user’s real-time location with police
station and parents/guardians.
User profile: Users should be able to update their profile information, including emergency
contacts.
Safety Tips and Resources: The application should an interface showing safety tips and
information related to harassment prevention and personal security.
Tools:
Students may use Android studio or any other IDE as per his/her choice but he/she will have to use
JAVA programming language. It is also required that data storage and retrieval be conducted via
Google’s Cloud platform, specifically Firebase.
In regard to computational resources, any expenses incurred by students will not be covered by the
Virtual University of Pakistan as students are responsible for managing such expenses by themselves.

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Android Campus Recruitment System
Project Domain / Category
Mobile Application
Abstract / Introduction
Campus recruitment is a process where companies visit colleges and universities to hire
students for various job roles. However, this process can be challenging and time-consuming for both
students and recruiters, as they have to deal with multiple applications, interviews, and assessments.
Moreover, students may not have access to all the available opportunities or information about the
companies and their requirements.
The Android Campus Recruitment System is a mobile application that aims to simplify and
streamline the campus recruitment process for both students and recruiters. With this system,
students can:
▪ Browse and search for job opportunities posted by various companies.
▪ Apply for jobs and upload their resumes and other documents.
▪ Schedule and attend online interviews and tests.
▪ Track their application status and receive feedback from recruiters.
▪ Manage their profile and preferences.
Recruiters can:
▪ Post job vacancies and specify their criteria and expectations.
▪ View and shortlist candidates based on their qualifications and skills.
▪ Conduct online interviews and tests with candidates.
▪ Provide feedback and offer letters to selected candidates.
▪ Manage their company profile and preferences.
Functional Requirements:
The Android Campus Recruitment System provides a convenient and efficient way for
students and recruiters to connect and communicate during the campus recruitment process. The
functional requirements of the Android Campus Recruitment System are as follows:

User registration and login:
▪ The system should allow users to register and login using their email and password.
▪ Users should also be able to choose their role as either student or recruiter.
Job posting and browsing:
▪ The system should allow recruiters to post job vacancies with details such as job title,
description, salary, location, eligibility criteria, etc.
▪ The system should also allow students to browse and search for job opportunities
based on various filters such as company name, job role, location, etc.
Job application and submission:
▪ The system should allow students to apply for jobs by uploading their resumes and
other documents.
▪ The system should also allow recruiters to view and download the applications
submitted by students.
Test creation and taking:
▪ The system should allow recruiters to create online tests with questions of different
types such as multiple-choice questions.
▪ The system should also allow students to take the tests online within a specified time
limit.
Interview scheduling and conducting:
▪ The system should allow recruiters to schedule online interviews with selected
candidates by sending them invitations via email.
▪ The system should also allow students to accept or decline the invitations and attend
the interviews using video or audio calls.
Feedback and offer letter generation:
▪ The system should allow recruiters to provide feedback to candidates after the tests or
interviews.
▪ The system should also allow recruiters to generate offer letters for selected
candidates with details such as job role, salary, joining date, etc.
Profile and preference management:
▪ The system should allow users to manage their profile information such as name,
email, phone number, etc.
▪ The system should also allow users to set their preferences such as notification
settings, password change, etc.
Tools:
▪ Android Studio (Java Language)
▪ Database (SQLite or Firebase)
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Android-Based Staff and Offender Records Management System for Police Department
Project Domain / Category
Android Application
Abstract / Introduction
Staff and Offender Records Management System for Police Department is an Android-based
application consisting of hardware, software, networked devices, and information that serves as the
backbone for any organization. This application collects data from various online systems and
resources, processes the data, and generates reports to assist in making informed decisions.
Android-Based Staff and Offender Records Management System is used to convert the manual
information system of the Police department into an online Android application. This app is capable
of collecting online data from various police stations located in various districts of the province. The
Police stations will connect to the portal through a VPN or App, using an authentication mechanism
of username and password. The collected information includes the Police staff and criminal data that
will be provided by the administrations of Police stations located in far-flung areas of the province.
This system will facilitate each level of management in the Police Department. Using this portal, the
top, middle, and low-level management of Police gain information about police staff and criminals
to improve their performance and carry out optimal decision-making for keeping peace in districts
and provinces.
Functional Requirements:
User:
Log in to the system using authentication.
Search for District, Tehsil, and Police station information.
Input staff and criminal data at the police station level.
Search, edit, or delete data at the police station level.
Access and view staff and criminal data at Tehsil and District levels.
Generate reports at the police station level.
Create reports at the Tehsil level.
Produce reports at the District level.
Administrator Login:
An authorized admin can log in to the system:
Assign/update/delete the username and password of the end-users
Add the name of the District, Tehsil, and Police station
Edit/delete the name of the District, Tehsil and Police station
View/edit/delete the District, Tehsil-wise staff, and criminal data
View/edit/delete the police station-wise staff and criminal’s data
Generate various reports about staff and criminals at different levels i.e. Police Station, Tehsil,
or District level.
Tools:

IDE: Android Studio (or any other mobile app development IDE)
Programming Language: Android Java/Kotlin, XML for Layout/Interface design.
Database: Online DBMS (Firebase, MySQL, or any other)
Unified Modelling Language (UML): Microsoft Visio etc.
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Bakers and Confectionary Management Services App
Project Domain / Category
Mobile Application
Abstract/Introduction
Bakers and Confectionary Sales and inventory provides bakers and Confectionary management
services to help clients achieve the highest quality customer outcomes and ensure the effectiveness
of their food quality programs. The application Bakers and Confectionary Sales online
Inventory must be well designed and engaged with the inventory control of different sales such as
shopping cart, purchase, and production. The business can select workers’ permanent/daily wages
for different jobs and view their Inventory Control/production detail with a complete Account book
and report. This platform can be run for pure business purposes, so proper reports are required for
inventory sales, purchases, production, and accounts of bakers and Confectionary management
services.
Functional Requirements:

Admin/system can add, modify, delete, and search staff permanent/daily wages by first
name, Last name, CNIC, contact number, qualification, experience, and salary / daily wage.
Admin/system can add, modify, delete, and search/view shopping cart sales by date and
Type.
Admin/system can add first name,
Lastname, Distributors CNIC, Distributors address, Distributors contact no,
and Distributor inventory.
Admin/system can add, modify, delete, and search/view reports of cash sales by date and
Type.
Admin/system can add, modify, delete, and search/view reports of credit card sales by date
and Type.
Admin/system can add, modify, delete, and search/view reports of Product inventory.
Admin/system can add, modify, delete, and search/view reports of purchase inventory.
Admin/system can add, modify, delete, and search/view reports of payments and
transactions by dealers.
Admin/system can add, modify, delete, and search/view reports of payments and
transactions by vendor.
Admin/system can add, modify, delete, and search enterprise complete accounts with
reports.
Admin/system can add, modify, delete, and search/view reports of employees’ jobs and
payment records.
Customers can create their login and profile by first name, Last name, domain, address,
contact no, and date of registration
Admin/system can add first name, Last name, vendor CNIC, vendor address, vendor
contact no, and vendor inventory.
Non-Functional Requirements:
The mobile application must be Android-based, and its data is to be managed using SQLite. Also, the
application should be easily accessible to users, secured, saleable and well-performing. Those criteria
are what would make the application stand up from a simple application to a product that can be
delivered and used by real-life clients. However, the focus is more on implementing the application
using the new tools before considering these enterprise application features.
Tools:
Android Studio / Eclipse / NetBeans
Programming language (Front end: XML, Back-end: Java)
Database (SQLite or any modern database language)
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Diet Planning App (Mobile)
Project Domain / Category
Mobile Application
Abstract / Introduction
The Diet Planning App is designed to help individuals plan and track their dietary intake in a
convenient and personalized way. The app will provide users with tools to set dietary goals, discover
healthy recipes, and monitor their nutritional intake to support their wellness and dietary objectives.
This app will target a wide range of users who want to maintain a balanced diet, lose weight, gain
muscle, or address specific dietary restrictions. This app empowers users to make informed dietary
choices by providing easy access to nutritious recipes and meal planning tools. It encourages
healthier eating habits, which can lead to improved overall health and well-being. Personalized
Nutrition: By allowing users to set and customize dietary goals, the app ensures that individuals can
tailor their meal plans to their specific needs, whether they are looking to lose weight, gain muscle,
manage dietary restrictions, or simply maintain a balanced diet.
Functional Requirements:
The functional requirements for the Diet Planning App project:

User Registration:
o Users can create an account by providing essential information (phone, name, email,
password).
o Validate and secure user registration to prevent unauthorized access.
o Must verify the user before completing the registration. The registration must be done by
sending an OTP (one-time password) through SMS (on the entered phone number) or
Email.
User Login:
o Registered users can log in using their login credentials.
o Implement secure authentication to protect user accounts.
User Profiles:
o Users can create and update their profiles with personal details (age, gender, weight,
height, activity level, dietary restrictions, goals).
o Profile data should be editable, and users can choose to keep certain information private.
Goal Creation:
o Users can set dietary goals, such as daily calorie targets, macronutrient ratios
(carbohydrates, proteins, fats), and other dietary restrictions (e.g., vegetarian, glutenfree).
o Goals should be customizable and adaptable over time.
Recipe Search:
o Users can search for recipes by various criteria, including meal type, ingredients, dietary
preferences, and cuisine.
o Implement a search bar and filters for efficient recipe discovery.
o Recipe Details:
o
o Users can view detailed recipe information, including ingredients, preparation steps,
cooking time, and nutritional content.
o Nutritional content should be displayed per serving.
Meal Creation:
o Users can plan meals by selecting recipes from the database.
o The app should calculate the total nutritional content of planned meals.
Daily/Weekly Meal Plans:
o Users can create daily or weekly meal plans, including breakfast, lunch, dinner, and snacks.
o The app should support meal planning for multiple days.
Nutritional Monitoring:
o Users can track the nutritional content of each meal, including calories, macronutrients,
and essential micronutrients.
o Display a summary of daily and weekly nutritional intake.
Weight Tracking:
o Users can track their weight over time and view their weight change progress.
o Implement graphical representation of weight trends.
Goal Adjustment:
o Users can adjust dietary goals based on their progress and objectives.
o Provide suggestions or prompts for goal adjustments.
Tools/Technical Details:
Platform: Android
Development Tools: Android Studio
Languages: Java/Kotlin, Flutter
Database: A cloud database for storing recipes and user data, possibly an API for retrieving
nutritional information.
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Health Care App
Project Domain / Category
Healthcare/Mobile App
Abstract / Introduction
Most of the people don’t know which hospital and doctor is best for their specific disease. Reliable
online medical sources provide general, easily understandable information about symptoms,
treatment options, and common outcomes. When used properly, it can help you proactively identify
a health problem, treat it over the-counter, and empower you to make good health-related
decisions. Most of the people don’t know which pharmacy has that medicine in less price so a “
Health Care” app can help people to connect with best pharmacy with best price. The app connects
the health service providers to clients and helps patients to seek all types of health services at one
platform. The health service providers like doctors and medical equipment sellers can easily connect
with patients and sell their services. Patients can avail all health care services like online consultation;
foreign doctors assist for complex medical procedures, pharmacy services, hospital services at home
using the app. All vendors will register on the app and buy subscription charges to offer their services
on the app while patients will register on the app and avail services provided by vendors. The app
would function as a connector between two users. Users could be an individual using the app to
access healthcare services and could be the vendor providing the services. The user who will access
the health care services through the app would enter our system as a patient and the user who will
enter our system to provide health care services would be a vendor which include doctors, hospitals.
Pharmacies, mortuaries, ambulance service providers and foreign doctors and hospitals etc.
Functional Requirements:

To connect patients to hospital providers and Pharmacy’s within any geographical location.
To connect Patients to Ambulance services/Mortuary services within any geographical
location.
Enable people to schedule appointments with hospitals/doctors for chronic/ terminal issues
like cancer, surgery etc.
To connect medical equipment producers/sellers to hospitals trying to expand and help them
arrange flexible payment plans.
To connect local hospitals to foreign/diaspora doctors to facilitate performance of complex
medical procedures.
To provide a platform to doctors to schedule their appointments on their free time so their
services could be utilized.
Tools:

VS Code
Android Studio
It depends on student’s skills and technology he/she is interested to work in.
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LifeLine Tracker
Project Domain / Category
Mobile Application
Abstract / Introduction
It is an android based mobile application that will keep track of a patients’ health. This mobile
application will keep the personal profile and medical record of a patient. In this app, user will be
able to add patient’s personal profile, medical history, doctor appointments and vaccination records.
It should provide an alert message to update the person about next appointment to the doctor and
daily medicines. The patient can add his/her medical record like blood pressure, sugar level, pulse
rate etc. and if these values are not in normal range, then it should alert a patient for emergency visit
to the doctor. An alert message should also be generated if vaccination date is near or has passed
or if appointment is due. Application must also provide the mechanism to keep track of a patient’s
medical record of illness and treatment (like what was illness like blood pressure, diabetes flu, fever,
chest infection etc. and what was the medicine recommended by Dr. along with Dr. name and
contact). There should be a facility to upload the image of prescriptions against illness records.
Functional Requirements
There are following functional requirements:

User will be able to add the personal profile of a patient.
User will add the record of medical history of a patient (like what was illness like blood
pressure, diabetes flu, fever, chest infection etc. and what medicine was recommended by Dr.
like Panadol, Rigix, Glucofage etc. along with Dr. name and contact).
User will be able to add vaccination record of patient.
It will give alert message in case of emergency visit to doctor if patient is not well.
It will give an alert message if vaccination date is near or has passed or if doctor appointment
is due.
It will update patient about daily medicine.
There should be a facility to upload the images of prescriptions against illness record.
Tools and Languages:
IDE: Android Studio
Language: Java
Database: SQLite / Firebase
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Real Estate iOS App
Project Domain / Category
Mobile Application
Abstract/Introduction
Investment is the allocation of resources, typically money or capital, with the expectation of
generating a return or profit in the future. Investors seek to grow their wealth or achieve specific
financial goals through various investment opportunities. Investment choices can vary widely, from
stocks and bonds to businesses and real estate.
Real estate investment is a significant category within the broader realm of investment. It involves
acquiring and owning real property, such as residential or commercial buildings, land, or real estaterelated assets, with the aim of generating income, building wealth, or diversifying an investment
portfolio. Real estate investments can provide rental income and capital appreciation, and they often
serve as a tangible and long-term asset. The real estate market offers diverse opportunities for
investors, from buying residential rental properties to participating in commercial real estate
ventures, making it a crucial component of many investment strategies.
“Real Estate iOS App” is an application designed to provide users with facilitation to buy properties.
The main idea of the “Real Estate iOS app” is to show you property Listings. This app could provide a
list of properties with description, price, property type. The app could also include a Notes feature
where users can record their favorite properties.
Main Roles of the System:
There will be five options in its side menu;
· Profile
· Best Properties
· My Favorite Property
· My Favorite Estate Agents
· Logout
Core Functionality:
The core functionality and basic flow of the app will be as follows:
First of all, the user will encounter the home screen which consists of a list of the Top 10
Best Properties.
Each property also has a like button, if the user like a property, that property will lead to
user’s favoritee properties.
The app will also allow a user to save his/her properties in Its Notes section.
There will also be a favorite Property Agents Screen which will show Estate Agents and also
have a like button and in turn liked agents will be shown in the My Favorite Estate Agents
Screen.
The user will have to register before writing property in Notes if he/she is not registered
already.
The other Screens will work as:
● Profile.
Profile Screen will show the user his/her details (His/her First name, Last name, Age,
Gender, Email, Password, Phone Number, Address)
● Best Properties.
This screen will show the list of best properties.
● My Notes.
This Screen will show all the Notes which the user writes about his favorite Properties.
There will be a need for a backend web API that will handle all backend tasks such as managing all
property, best property and user data etc.
Tools & Language:

IDE: XCode at mac-book
Programming Language: Swift5 and latest versions
Backend Server-side scripting technology: PHP
API Testing Application: Postman
Code Editors: XCode, Sublime, PHP storm Visual Studio, etc.
Note: If you need any further assistance regarding tools, feel free to contact me.
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SpendNexxus
Project Domain / Category
Mobile Apps
Abstract / Introduction
The functional requirements presented herein pertain to the Android Expense Tracker, a
collaborative project undertaken by a team of two students. This project aims to develop a
comprehensive mobile application that empowers users to effectively manage their personal
finances. The Android Expense Tracker will encompass various functionalities and features to
facilitate expense recording, budget management, income tracking, and the handling of lending and
borrowing transactions. The primary goal of this application is to provide a user-friendly and versatile
platform for individuals to monitor and analyse their financial activities. With a clear focus on
functionality, user experience, and robust data management, this project seeks to create a valuable
tool that assists users in making informed financial decisions. The functional requirements outlined
in this document serve as a roadmap for the design, development, and successful implementation
of the Android Expense Tracker.
Functional Requirements:
User Authentication:

Users must be able to register and create an account.
Users should be able to log in securely with their credentials.
The application should support user profile management.
Expense Recording:
Users must be able to add new expenses, providing details like date, amount, category, and
description.
Users should categorize expenses for better organization.
Support for multiple currencies should be provided.
Users should be able to attach receipts or images to expenses.
Expense Management:
Users should be able to edit and delete expense entries.
Users must have access to a list of all expenses, filterable by date, category, or amount.
10.A search feature should help users find specific expenses.
11.Expenses can be marked as recurring (e.g., monthly bills).
Budgeting:
Users should be able to set and manage budget limits for different expense categories.
13.Notifications must be sent when users approach or exceed budget limits.
Income Tracking:
Users can record sources of income.
15.Users have access to income statements and history.
Lending and Borrowing Money
Lending Money (Owing Others):
Users should be able to record lending money to someone, specifying the amount, the
recipient’s name, and the reason for the transaction.
Users should set a due date for the repayment.
Users can view a list of pending loans and their status (e.g., paid, pending, overdue).
The application should send notifications to remind users about upcoming repayments.
For loans to users of the application, the recipient’s username should be searchable to
ensure accuracy.
For loans to individuals not using the app, users should be able to enter their name
manually.
Borrowing Money (Owed to Users):
Users should be able to record borrowing money from someone, specifying the amount, the
lender’s name (with search functionality for users of the app), and the reason.
Users should set a due date for repayment.
Users can view a list of outstanding debts and their status (e.g., paid, pending, overdue).
10.The application should send notifications to remind users of upcoming repayments.
For debts to individuals not using the app, users should be able to enter their name
manually.
Database and Offline Entry
Firebase Database Integration:
12.Utilize the Firebase Realtime Database for storing lending and borrowing transactions, user
data, and expense information.
13.Implement secure data synchronization with Firebase to ensure data consistency.
Offline Entry Support:
14.Allow users to add, view, and edit lending, borrowing, and expense data when offline.
15.Data changes made offline should be synchronized with the Firebase database once a
connection is re-established.
With these additional requirements, users of the Android Expense Tracker app will be able to
manage lending and borrowing transactions effectively, whether they are dealing with other users
of the application or external individuals. The integration with Firebase ensures secure data storage
and synchronization, and the app also provides offline support to ensure that users can manage
their finances even without an internet connection.
Important Note
This project can only be taken by a group of 2 students, one for front end /designing and 2nd one
for back end.
If a student joins this project individually then it will his/her responsibility to complete both parts
of the project. Grouping shall be made with both of the students consent and clearly mentioning
the role of a student in the project/team.
Tools:
⚫ Android IDE
⚫ Java,Kotlin,XML
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The Zakat Automation System Mobile App
Project Domain / Category
Mobile Application
Abstract / Introduction
The Zakat Automation System Mobile App is focusing on developing a mobile application that
streamlines the process of Zakat calculation, collection, and distribution. Zakat is a fundamental
aspect of Islamic financial and social responsibility, and this app aims to simplify and enhance the
efficiency of managing Zakat-related activities for both individual users and Zakat organizations.
Functional Requirements:
User Registration and Authentication:
o Users should be able to create accounts or log in securely to access the application.
o Utilize secure authentication methods, such as email verification or two-factor
authentication.
Profile Management:
o Allow users to create and manage their profiles, including personal information,
family details, and financial data.
Zakat Calculation:
o Implement a robust algorithm for accurately calculating Zakat based on the user’s
financial information and assets.
o Provide a user-friendly interface for inputting and reviewing financial details.
Payment Integration:
o Integrate payment gateways to allow users to make Zakat payments directly through
the app.
o Ensure secure and easy-to-use payment processing.
Zakat Records:
o Maintain a history of Zakat payments and receipts for users.
o Generate reports or summaries of past Zakat transactions.
Donation Tracking:
o Enable users to track their charitable donations and view progress towards meeting
their annual Zakat obligations.
Zakat Distribution:
o Allow users to select from a list of registered Zakat organizations or causes for the
distribution of their contributions.
o Implement a secure and transparent system for disbursing funds to beneficiaries.
Notification System:
o Send timely reminders to users for upcoming Zakat payments, important dates, and
other relevant information.
o Notify users about the impact of their contributions.
Educational Resources:
o Provide informational content on Zakat, its importance, and how it works.
o Include FAQs and resources for users to learn more about the Zakat process.
10.User Support and Feedback:
o Include a feature for users to contact support, report issues, or provide feedback on
the app’s usability and functionality.
Optional features may include language localization, offline functionality, and social sharing
capabilities to promote the app and its mission. Additionally, consider collaborating with Zakat
organizations to ensure the app aligns with their requirements and can be adopted for real-world
use.
Tools:
List of tools and technologies that can be employed for different aspects of the project:
Front-End Development:
Programming Languages:
o Swift: for iOS app development.
o Java/Kotlin: for Android app development.
Integrated Development Environments (IDEs):
o Xcode: for iOS app development.
o Android Studio: for Android app development.
UI/UX Design Tools:
o Adobe XD, Sketch, Figma: for designing the user interface.
o Zeplin or InVision: for collaboration and handoff between designers and developers.
User Interface Frameworks:
o UIKit (iOS): Apple’s user interface framework for iOS.
o Android UI Framework: Standard Android UI components for Android.
Back-End Development:
Programming Languages:

Node.js, Python, Ruby, Java, or C#: for server-side development.

Web Frameworks:
o Express.js (Node.js), Django (Python), Ruby on Rails, Spring (Java), ASP.NET (C#): for
building the back-end server.
Database Management:
o MySQL, PostgreSQL, MongoDB, or Firebase Realtime Database: for storing user
data, financial records, and transactions.
API Integration:
o Utilize RESTful or GraphQL APIs for payment gateways, email services, and other
external functionalities.
Authentication and Security:
Authentication Services:
o Firebase Authentication, Auth0, or OAuth2: for user authentication.
Payment Integration:
10.Payment Gateways: – Stripe, PayPal, or other relevant payment gateways: for processing
Zakat payments securely.
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Virtual Art Studio
Project Domain / Category
Mobile Apps
Abstract / Introduction
“He created the heavens without any such columns that are visible to you, and placed (mountains
as) anchors into the earth so that it may not tremble along with you, and spread out all kinds of
animals in it. And We sent down water from the sky, so caused all kinds of elegant pairs (of plants)
to sprout on the earth.” (The Holy Quran: Para 21, Surah 31 Luqman, Verse 10)
This and several other verses highlight the diversity and beauty of nature, encouraging believers to
reflect on the signs of God’s creation and express gratitude for the blessings of the natural world.
Nature, in art, is frequently shown as landscapes, seascapes, plants and animals that capture the
spirit of its beauty, diversity and peace. Therefore, we are coming up with a noble idea of an art
studio application.
Virtual Art Studio is an innovative Android application designed to provide artists with a dynamic
and immersive platform for digital art creation, collaboration and community engagement. The app
leverages cutting-edge technologies to simulate the experience of a traditional art studio while
offering unique features tailored for the digital realm.
Functional Requirements:
I. Users: The app must support three types of users: Admin, Artists and Visitors.
Admin: The admin will be responsible for a smooth operation of the platform by managing
user accounts, organizing exhibitions and generating reports etc.
Artists: Artists create their artworks using drawing tools (i.e., paint, canvas, and sketching
materials etc.) and showcase their works in exhibitions.
Visitors: Visitors can take part in exhibitions, view the artwork, provide comments and
purchase featured artworks.
II. Authentication: App should provide registration page for artists and visitors, and login page for
admin, artists and visitors; store credentials at Firebase Authentication.
III. Databases: Firebase cloud services (i.e., Real-Time Database and Cloud Storage) should be used
as an online server for storing the data. However, for app internal storage, SQLite or Room
database should be implemented.
IV. Digital Canvas and Tools: Digital canvas should be provided to artists with a wide range of tools
including brushes, pencils, colour palette, eraser, selection & transform tools etc. for creating
digital artworks.
V. Artist Dashboard: Artists should have a profile management section, where they can upload,
edit, and remove artworks and have access to sales analytics.
VI. Search and Discovery: Visitors should be able to search for artworks based on different criteria
like artist, style, medium and price range etc.
VII. Virtual Exhibitions: Admin should plan exhibitions, provide guidelines for artwork submissions
and promote the exhibition on social media to attract a diverse audience.
VIII. Artwork Sales and Transactions: The platform should make it easier for visitors to purchase
digital artworks by using e-wallet. Secure transaction process should be implemented.
IX. Feedback and Critique Mechanism: Visitors should be able to provide constructive feedback,
ratings and comments for artworks in a supportive environment.
X. Notifications and Alerts: App should implement a proper notification system to alert users
about new artworks, upcoming events and important updates. Use Firebase Cloud Messaging
or Firebase In-App Messaging or both in this regard.
Tools:
IDE: Android Studio
Programming Language: Java/Kotlin
Databases: Firebase Real-Time/Cloud Fire-Store & SQLite/Room
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Voice and text translator app
Project Domain / Category
Mobile App
Abstract / Introduction
Voice translators are very much in demand nowadays because there are number of languages are
spoken by the peoples around the world and no one can learn all those languages. So there is a need
for a translator to understand any unknown language. The voice translator can be helpful for the
person who travels a lot around the world, and this can be helpful in understanding the local
language which is not native to him. Different translators are being used for translating the languages
but still there is room for better translator. This mobile app should help in translating multiple
languages in the desired language. This app should also consider different language variants as well.
For example, if we consider converting Punjabi to English then this app should consider all Punjabi
variants.
Functional Requirements:
The bulleted list of functional requirements are;
User should be able to register in the mobile app by entering username, email, password,
contact no and address.
User can login the mobile app by giving username and password.
After login the user can see the default speaking interface where user speak any language
and convert to English.
User can select multiple language to convert like English or any other language.
The app can convert different variants of a particular language like Punjabi.
The app should be particularly tested for Punjabi variant.
It should also convert English to Punjabi or any other selected language.
The app should also provide text interface as well.
User should enter text and this text can be converted to desired language.
App should identify the language of the entered text then convert it to the selected
language.
App should work on different platforms. So use flatter and Firebase for development.
Tools:
Flutter, Firebase
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VVPA – Virtual Video Player Application
Project Domain / Category
Mobile Application
Abstract / Introduction
The VVPA app is a multimedia solution designed to redefine the video playback experience for users
of Android devices. In an era where video content has become a central aspect of our digital lives,
VVPA addresses the need for a comprehensive, user-friendly, and versatile platform. This
application’s core functionality includes an appealing splash screen, an informative initial tour, a
robust media library, advanced video playback capabilities, support for various video formats,
seamless video streaming, and accessibility features such as subtitles and closed captions. It ensures
effortless media management for the users of android.
Functional Requirements:
Functional Requirements of the application are given below:
Splash Screen:
Your application must have a splash screen which is lunched automatically each time before
the start of the Application.
Application Tour:
When your application will launch at the first time after installation. You must perform a quick
tour of the VVPA to guide the user about it.
Media Library:
Your media library must scan, and index videos stored on the device. Also, allow users to add
and remove videos from playlists or mark them as favorites.
Video Playback Engine:
Implement the video playback engine, which should support various video formats (e.g., MP4,
AVI, MKV) using Android’s MediaPlayer or ExoPlayer.
Video Playback Controls:
Develop features like play, pause, seek, volume control, and playback speed adjustment.
Video Streaming:
The VVPA must be able to support or handle video streaming from URLs and local storage.
Accessibility Features:
The video player should support video subtitles and closed captioning.
Tools:
Languages: Kotlin / Dart
Design: Material 3 / JetPack Compose
Database: SQLite / Firebase
Development Environment: Android Studio
Framework: Flutter (If use Dart language)
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Portfolio Website Using Flask
Project Domain / Category
Web Programming/Website
Abstract/Introduction
A digital portfolio can showcase one’s most impressive accomplishments and boost their presence
on the web, allowing them to pursue possibilities for potential employment and collaborations.
Having a portfolio website can be a great way to make yourself stand out from the crowd who are
still relying on their resumes. This could be a total game-changer for your professional and social
existence. The aim of this project is to develop a website that comprise of front-end having an
attractive profile image, labels/ links to pages like Home, Skills, Projects, Publications, Experiences,
Supervision, Education, Resume, Register, and login (for admin only) Pages. The admin side provide
functionality like adding new pages, edit, update, profile picture, skills, projects, publications,
experiences, among others.
Functional Requirements
The website should provide:
A user-friendly interface (UI) that allows visitors to view all the necessary information like
skills, projects, publications, experiences, among others.
Allow admin to register, login to the admin panel.
The admin panel shall provide interface that allow the admin to:
a. View their profile and edit them
b. Add new pages
c. Delete existing pages
d. Edit and update the contents pages like Skills, experiences among others.
Tools / Application Platform: HTML, CSS, Flask Framework, and Python
Database: Excel Sheet/MySQL
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Prediction of TV Show Popularity based on Sentiment Analysis
Project Domain / Category
Information Retrieval
Abstract / Introduction
TV show popularity prediction using Sentiment analysis is one of the most interesting and challenging
tasks. Episode of a particular TV show released on weekends or holidays may attract more audience
than those on weekdays. Furthermore, since different episodes are usually released on different
days, the popularity prediction for TV shows is one of the interesting tasks.
Easy prediction of TV show which is trending based on individual ratings can be done. Good, bad and
neutral comments can be predicted based on reviews or comments. Due to this the visitor will get
to know the show popularity. Reality TV is the new mantra of television producers and channel
executives.
The main purpose of this project is to find the ratings based on the user’s comments. Nowadays,
most of the television shows are reality shows based on singing, acting, morning shows and Ramadan
transmissions. There are many shows telecasting in different channels. There are many ways to find
out the view count. We can find out which show has the highest rating and considered as the most
viewed show. Application developer will use a database of sentiment based keywords along with
positivity or negativity weight in database and then based on these sentiment keywords mined in
user comment is ranked and predict the popularity.
Functional Requirements:
Admin Panel:
a. Login: Admin need to login into the system by inputting the login credentials.
b. Add Pages: Admin will add page details such as page name and page link (details of
TV shows).
c. Graphical Representation: Admin can generate 5 graph (Pie Chart & Bar Chart) based
on Age, Gender, Location, Comment’s Sentiment based on peoples review on each TV
Show. This will help the users to know about the popular/trending TV shows.
User Panel:
❖ User login’s to the system/application by using his/her user ID and password.
❖ User can edit his/her profile details along with display picture.
❖ User will post comments on the uploaded TV shows posted by the admin.
❖ User can also view comment of other users posted on different/uploaded TV shows.
❖ Users should be able to comment on stored TV shows only once. The system stores each
comments of the users for further processing and find out the sentiments and their weightage
and store it in database.
❖ The stored comments of the users will be analyzed by the system with the help of
sentiwordnet dictionary and will rate/rank the show accordingly.
❖ User can easily decide whether the uploaded TV shows by the admin/ system are good, bad
or worst based on sentiment classification.
Tools:
❖ SQL 2008
❖ Visual Studio 2010
❖ Senti Word Net Dictionary
❖ Wamp Server
Note:
SentiWordNet Dictionary will be used for sentiment classification tasks only.
You may use any other platform for coding in which you have command, but make sure all
the mentioned FR’s should be completely implemented.
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EditMasters: Your Online PDF and Photo Editing Suite
Project Domain:
Web Programming
Abstract:
In the age of digital communication and content creation, the demand for accessible and userfriendly tools to edit and manipulate PDF documents and photos has never been greater. Recognizing
this need, we present “EditMasters,” an innovative online platform designed to empower users with
the ability to effortlessly edit, enhance, and transform their PDFs and photos with just a few
clicks. Multifunctional and intuitive editing tools are in demand across various domains, from
professionals trying to edit documents for business or academic purposes to creative individuals
making compelling visuals. EditMasters bridges this gap by providing a comprehensive and userfriendly solution for editing PDFs and images, all within a secure and reliable online environment.
Functional Requirements:
User Registration and Authentication:

Users can register using email or social media accounts.
Users must be able to log in securely.
Implement a password recovery mechanism.

PDF Editing Tools:

Users can upload PDF documents for editing.
Tools should include features like text editing, annotation, merging, splitting, and
page rotation.
Allow users to save and download edited PDFs.

Photo Editing Tools:

Users can upload images for editing.
Tools should include features like cropping, resizing, adding text or images, filters,
background removing and basic retouching.
Allow users to save and download edited photos.

File Format Conversion:

Users should be able to convert PDFs to image formats (e.g., JPG, PNG) and vice
versa.
Support common file formats for conversions.

Cloud Storage Integration:

Users can save their edited PDFs and photos to cloud storage services like Google
Drive or Dropbox.

Collaboration:

Allow users to collaborate on PDF and photo editing projects, including sharing and
real-time collaboration features.

User Profile and Dashboard:

Users can view and manage their uploaded documents, edited files, and project
history.
Provide options for personalizing profiles.

Push Notifications:

Send push notifications to users regarding updates, and promotional offers.
Tools:

Front-end Development:

HTML, CSS, JavaScript
Frameworks: React, Angular, or Vue.js

Back-end Development:

Programming Languages: Python, Ruby, or Node.js
Frameworks: Django, Ruby on Rails, or Express.js

PDF Editing Libraries:

PDF.js, PDFtk, or PDFTron for PDF manipulation.

Photo Editing Libraries:

Fabric.js, CamanJS, or PixiJS for photo editing capabilities.

Cloud Storage Integration:

Google Drive API, Dropbox API, or Amazon S3 for cloud storage integration.

Authentication and Security:

OAuth2 for third-party authentication.
Use HTTPS for secure communication.
Implement security libraries, such as bcrypt for password hashing.

Unified Modeling Language (UML):

Microsoft Visio
IBM Rational Rose
Visual Paradigm
***************************************************************************************************************************************************************************************
Fitness Club Management System
Project Domain / Category
Web based application
Abstract / Introduction
Fitness is very important for every person for healthy life, there is a lot of Fitness Clubs but most of
the time the information can’t handle properly due to which these clubs did not produce this type
of change in some one life which was needed. So our Fitness Club Management System is designed
to handle this information carefully and on the basis of given requirement Workout Plan was
suggested.
Before every workout the manager of the Club take measurement of the customer like Height,
Weight, Waist, etc. Then the manager take a detail interview of the customer about his daily food
intake, activities and his Goal e.g. Reduce Belly Fat.
On the basis of the given detail, the manager calculate customer’s Body mass index (BMI), make a
diet Plan and Workout Plan.
There is different categories of Workouts in the Club for different type of Customers with different
Instructors.
There is also a complete detail about Instructors like his personal Information, his Qualification and
his timings.
The Manager or Manager Assistant also manage an account department about Customers fee and
Staff Salaries, Bills & Rent etc.
Our software will be easy to use for both beginners and advanced users. It features a familiar and
well thought out, an attractive user interface, combined with strong searching insertion and
reporting capabilities. After completing this project the Manager can check all detail in the form of
Reports about the Customer Fitness level and his Improvement, on the basis of which the manager
can change his diet plan, Workout plan etc. The manager can also calculate the profit by deducting
monthly Bills, Salaries, and Rent from the total student fee.
Functional Requirements:

Manager

Manager can login and logout.
Manager take a backup of the Database.

Customer Registration

In this module Manager can add and delete Customer.
In this module Manager assign Workout to Customer.
And assign IDs.

Instructor/ Manager Assistant Registration

In this module Manager can add, delete and Update Instructor/ Manager Assistant.
And assign IDs.

Accounts

In this module Manager/ Assistant Manager manage activities related to Customer
fee, staff salary, Rent, due fee.

Workout

In this module Manager add Workouts and manage different Categories of Workouts.
In this module Manager select workout plan for different Customers.

Reports

In this module Manager can manage
Fee Report, Due Fee, Salary, Expenses, and Profit.
There can be daily reports
Weekly reports
Yearly reports
The system should be able to generate a report of profit on daily, monthly and yearly basis.
Note:
Templates (Flask template or any other template and Drag and Drops) are not allowed to use in this
application you need to use python libraries.
For this project you need to visit any Fitness Club and get more functional and non-functional
requirements from the Manager and if you have any ambiguity contact at my Skype id mentioned at
the end.
Tools:
Python is mandatory.
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FleetFuel – The Online Fuel Delivery Web Application
Domain/Category
Web Programming
Abstract / Introduction
FleetFuel is a user-friendly web application developed to simplify the fuel delivery process for
companies with vehicle fleets, such as taxi services and bus operators. No longer do you need to
coordinate multiple vehicles to visit a fuel station; instead, the fuel comes to you. Users, who are
vehicle managers or drivers, can access the web application to place fuel orders. They provide
essential details, including the type of fuel (petrol or diesel), the required quantity, and the desired
delivery location.
Unlike traditional online payment methods, FleetFuel utilizes a “Cash on Delivery” system, where
users make the payment to the delivery personnel when the fuel arrives. Gas stations also have their
space in the web application. They can log in, manage their inventory, and keep track of incoming
orders, ensuring they have sufficient fuel to meet the demand. Admins play a pivotal role in
overseeing the system. They can manage gas stations, set fuel prices, and monitor the flow of orders.
Functional Requirements:
User Management:
User registration and authentication.
User profile management.
Order Placement:
Fuel ordering with type, quantity, and delivery location.
Real-time pricing information.
Order Tracking and Management:
Order status tracking.
Location Services:
Geolocation for accurate delivery.
Admin Management:
Gas station management, addition, and removal.
Fuel type assignment and price setting.
Order monitoring and management.
Gas Station Management:
Gas station access and login.
Inventory management and order processing.
Order cancellation as needed.
Order History and Reporting:
View order history.
Generate reports for analysis.
Notifications:
Notification system for order updates.
Customer Support:
Feature for user inquiries and issue reporting.
Tools:
Server-side programming language: PHP
Framework of PHP : Laravel, CodeIgniter or any other framework of PHP
Scripting and styling languages: HTML and CSS
Customer-side scripting: JavaScript and JQuery
Database: MYSQL IDE: PHP Storm or NetBeans or any one of your choice
Local host Server: WAMP or XAMPP
Supervisor:
Name: Hafiz Muhammad Azeem Sarwar
Email ID: azeem.sarwar@vu.edu.pk
Skype ID: h.m.azeem2
foodies.com
Project Domain / Category
Web Application
Abstract / Introduction
Suppose we have a project named “foodies.com”. In this project, we have a website that serves as a
bridge between Food Lovers and Restaurants. A food lover can become a registered user to get the
access to the authentic delicious food of restaurants available in his/her area.
Functional Requirements:

Restaurant Owner login and signup.
User (Food lover) login and signup.
Admin login.
Restaurants list should be displayed to the user.
User should be able to search a particular restaurant.
User should be able to see the detailed menu and location of a particular restaurant.
User should be able to order the food from a particular restaurant.
User should be able to have a real time chat with restaurant representative.
User should be able to rate a particular restaurant.
10.Restaurant owner should be able to post a new offer and the users of that particular area
should be notified regarding the offer.
11.Admin should be able to manage (create, update and delete) the orders and all users (Food
lovers and restaurant owners).
12.All statistics regarding foodies.com should be displayed on the Admin Dashboard.

Tools and Technologies:
PhpStorm/Visual Studio code, Xampp, Laravel/Codeignitore (Framework), PHP, JavaScript
***************************************************************************************************************************************************************************************
Happy Meal
Project Domain / Category
Web Programming
Abstract / Introduction
The “Happy Meal” is a website for a restaurant that offers a delivery service too. The customers
would be able to see all the menu items on the screen. The website will allow the customers to
place orders online, and facilitate delivery requests. The primary goal is to enhance the restaurant’s
online presence and improve customer convenience. The website will feature a user-friendly
interface with an attractive design to engage customers.
Customers can create accounts to store their contact information, delivery addresses, and order
history for a faster checkout experience. Customers can browse the menu, add items to their cart,
can customize their ordered items, and place orders with delivery or dine-in.
The design should be responsive compatible with both desktop and mobile devices. Real-time
order tracking, reviews, and ratings provide a comprehensive user experience.
Functional Requirements:
Customer Panel:
Registration and Login: Users can create accounts, log in, and access their profiles.
Browse Menu: Users can view the restaurant’s menu, including categories and item details.
Order Placement: Select items, add to cart, specify quantity and customizations, and place orders.
Online Payment: Secure payment processing with options for credit/debit cards and digital wallets.
Order History: Customers can view their order history and reorder previous orders.
Delivery Address: Ability to save multiple delivery addresses.
Delivery Tracking: Real-time tracking of delivery status and estimated arrival time.
Review and Ratings: Users can leave reviews and ratings for both the restaurant and individual
dishes.
Admin Panel:
Dashboard: Admin dashboard for managing orders, menu items, and user accounts.
Menu Management: Add, edit, or remove items from the menu, including prices and descriptions.
Order Processing: Accept, prepare, and mark orders as delivered.
User Management: Manage customer accounts, including editing and deactivating accounts if
necessary.
Delivery Tracking: Monitor delivery orders and their statuses.
Feedback Management: Review and moderate customer reviews and ratings.
Tools:
Front-end: HTML, CSS, Java Script, Bootstrap (responsive website)
Backend: Laravel
Server: Xampp
***************************************************************************************************************************************************************************************
NAT BAGS
Project Domain / Category
Web Programming
Introduction
The online mode of a business allows customers to order goods and services online without visiting
business centers at convenient times. In view of this, the proposed project aims to develop a website
for Bags of NAT brand that allows registered users (customers) to purchase different types of bags.
The website will display available product categories, along with product images, brand/company
name, price, number of items in stock, and user reviews of the product (if any) and related
description, etc. in appropriate design and layout. Users will be able to purchase/order available
items after registering on the website and using the payment method (cash on delivery). The website
will provide an interactive interface and rich search functionality to find different types of tableware
items through different filters. The website will allow registered users to register their
comments/reviews on any purchased item. Comments/reviews will be posted on the website along
with article information. Additionally, registered users will be able to submit their
complaints/feedback regarding the website’s services. Ordering tableware online through the
proposed website will eliminate the actual cost of visiting markets for this purpose.
Functional Requirements:
Following are key functional requirements of the proposed system:

User Registration/Sign Up, Sign In
For user registration and Sign In of following three types of the users of the website, Registration
and Login pages would be build:

Visitor (Unregistered User)
Registered user (Customer)
Registered user (Administrator)
Roles of the users will be as follow:
Visitor will view the items on website to search his/her required bags.
Visitor will login to purchase his/her selected item.
Customer will see the description and other features of bag before adding bag in cart.
After finalizing customer will add bag in cart and place order.
Required information for order placement would be filled by customer.
Customer will select payment method as cash on delivery then submit order.
Admin will send an email to customer mail id for confirmation of order.
After customers approval order will be confirmed.
Specifications:

Email Notification and Verification
⚫ Visitor will register him/her on the website.
⚫ On submitting the registration information, an email notification will be sent with a
confirmation link to the visitor’s given email ID.
⚫ On confirmation through link, the Admin will approve the registration requests from users.
⚫ An email notification will also be sent to the registered user on approval or rejection of any
request.
⚫
Admin Panel
⚫ There will be proper Admin Panel / Dashboard to add/ delete and update all information
such as description, price, stock, images of bags handled by Admin.
⚫ Admin will perform category management as well as user management (accepting /rejecting
the user registration requests).
Display of Information on the website
The item name, quality, material (leather, faux, cloth etc.), category (Hand bags, Shoulder
bags, Cross bags.. etc.) brand/company name, thumbnail image, price and number of items
available in stock, related description, new Arrival, Sale (if any), comments/reviews by the
registered users etc. should be displayed on the website in proper design. On clicking the
thumbnail, the website will maximize the image.
Placing Order on the Website
⚫ The website will allow the registered user(s) to make order against their selected items.
⚫ There will be proper interfaces on the website in this regard.
⚫ The user will first have to select the item to put into the shopping cart, and then will have to
pass through the payment method i.e. cash on delivery.
⚫ Upon successful transaction, a confirmation mail will be sent to the user’s provided mail.
Searching
Filter and sort features must be provided having given options and filter or sort the data
accordingly.
⚫ Name
⚫ Brand / Company Name
⚫ Category Wise
⚫ Material
⚫ Price Wise
⚫ New Arrival
⚫ Sale
⚫ Best Sellers
Admin will also be able to search the information by user IDs.
Comments / Reviews
Users can submit their comment and review on the web page; for that specific items which are
purchased by users.
Complaints / Feedback
A complaint/feedback interface should be given to registered user to submit their complaints and
feed backs on website. Admin would manage this information.
Helping Material Links:
Python Tutorial For Beginners
https://www.youtube.com/watch?v=qYyg3BKijRc&list=PLYwpaL_SFmcCJu4i6UGMkMx1p3yYZJsbC
Django Tutorials for Beginners
https://www.youtube.com/watch?v=C1NgOmoOszc&list=PLjVLYmrlmjGcyt3m6rt21nfjhYSWP_Ue_
E-commerce FullStack Website using Django
https://www.youtube.com/playlist?list=PL_KegS2ON4s53FNSqgXFdictTzUbGjoOTools:
Python and Django
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Online Disaster Information Management System
Project Domain / Category
Web programming
Abstract / Introduction
Whenever a natural calamity or disaster hits a country, the whole nation suffers. At the time of any
disaster, it becomes of paramount importance that the damage should be minimized, and
rehabilitation should be provided at a fast pace to avoid any further damage. Therefore, Online
Disaster Information Management System is proposed with the idea to engage rehabilitations
institutes (Law enforcement agencies and NGOs etc.) and general public to mitigate the impacts of
any disaster. Using this system, both the rehabilitation institutes and the general users register an
account on the website. Rehabilitation institutes can provide information of relief granted. Both the
rehabilitation institutes and general users can add and view the disaster related information.
There will be three types of users of this application.
⚫ National Disaster Management Authority (NDMA) as Administrator
⚫ Rehabilitation Institutes
⚫ General User
Functional Requirements:
Here is a list of functional requirements:
NDMA can manage the users of the website.
NDMA can manage relief information.
NDMA can manage disaster information.
Rehabilitation Institutes can register on the website.
Rehabilitation Institutes can provide the information of relief granted.
Rehabilitation Institutes can add the disaster information.
Rehabilitation Institutes can post a public message.
General User can register on the website.
General User can check the relief information.
10.General User can check the disaster information.
Note:

These are basic requirements of the application. Students may add further functionalities to
make the application more useful.
Virtual University of Pakistan (VU) will not provide any kind of hardware for this project;
student has to arrange the required hardware by himself/herself.
VU will not pay for any license of the software, the libraries /toolkits/APIs used in this project.
Tools:
Microsoft Visual Studio, SQL Server, Asp.net;
Note: You are advised not to switch the tools. If you do so, you will handle the technical side yourself.
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Online DRC
Project Domain / Category
Web Programming
Abstract / Introduction
This is a web-based application which acts as online dispute resolution council (DRC) between two
parties. A party can file a case against any other party through “DRC Portal”, the DRC secretary gives
a date for hearing the case and assign the DRC members to the case. The comments of both the
parties are taken by the DRC members along with the comments of the members. They can give a
new date for further hearing or can conclude the case.
Functional Requirements:
Following are the functional requirements for the project:

User registration module on front end.
User management section on admin side.
Members management feature on admin side.
User can file a dispute against someone through DRC portal.
Management of disputes on admin side, assign dates and DRC members to case.
Dispute resolution feature (Case Hearing(s), Comments, Decisions etc.).
Success Cases.
Reports.
Tools:
You are free to use any tool provided that all the functional requirements are met properly.
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“ONLINE LOGISTICS SYSTEM”
Project Domain / Category
Web Application
Abstract / Introduction
Logistics is an important part in supply chain management. It plays a vital role in supplying good from
supplier to the manufacturer and then to the seller. If logistics fail or does not work the entire
business comes to halt.
With the digital transformation logistic companies are going online to provide real time booking,
tracking and visibility to both businesses and logistic companies. This allows businesses to track
shipment and make decision making as per the shipment. Moreover by adopting digital model,
logistic companies can gain the advantages of improved efficiency, route tracking, shipment
management, online booking, record keeping and online payment etc.
Functional Requirements:
Users will be able to create an account by signing up a form.
The sign-up form will request essential information such as name, address, phone number,
and email address for future reference.
Users will be able to check fright details and book logistics.
Users will be able to make online payments for a selected trip.
Users will be able to track route for their shipments
Administrator will be able to enter details about vehicles registered with the company.
Administrator will be able to enter details about drivers registered with the company.
Administrator will be able to add details of the trips a driver has made.
The trips details will contain details such as vehicle details, starting point, destination,
distance covered, charges per trip etc.
Administrator will be able to enter different expenses of the company.
The expenses will include fuel expenses, maintenance, driver’s salary etc.
Administrator will be able to add all income details.
Administrator will be able to produce reports by mentioning a period for which total income
and deductions will be calculated
The reports will be calculated based on a schedule i.e. at the end of each month or on
demand.
Administrator will be able to produce a print of the report generated.
Tools:
PHP, MySQL, Xammp, Notepad++.
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Online Nursery Farm
Project Domain / Category
Web application
Abstract / Introduction
The Online Nursery Farm project aims to develop an e-commerce platform that allows customers to
browse, purchase, and have plants, trees, and garden supplies delivered to their doorstep. This
platform will offer a wide variety of plants, gardening tools, and resources to cater to gardening
enthusiasts and those looking to enhance their living spaces with greenery.
Functional Requirements:
User Panel
➢ User Registration: Users should be able to create accounts with basic information and personal
details.
➢ User Login: Registered users should be able to log in securely to access their accounts.
➢ Product Catalog
➢ Product Listings: Display a catalog of plants, trees, gardening supplies, and related items.
➢ Product Search: Allow users to search for products by name, category, price, or other filters.
➢ Product Details: Provide detailed information, including images, descriptions, and pricing for
each product.
➢ Product Reviews: Enable users to leave reviews and ratings for products they’ve purchased.
➢ Add to Cart: Users should be able to add products to their shopping cart.
➢ Shopping Cart Management: Allow users to review, modify, or remove items in their cart.
➢ Checkout Process: Guided checkout process with shipping and payment information.
➢ Payment Integration: Secure payment processing through various payment gateways.
➢ Order Confirmation: Send order confirmation emails to customers.
➢ User Profiles: Users should have profiles where they can view order history, track orders, and
manage personal information.
➢ Order Tracking: Real-time order status updates and shipment tracking.
Admin Panel
Admin Dashboard: Administrative interface to manage products, users, orders, and reviews.
Inventory Management: Manage product listings, stock levels, and pricing.
User Management: Admins can add, modify, or delete user accounts.
Order Management: Track orders, process refunds, and handle customer inquiries.
Content Management: Update and manage website content, including FAQs, blogs, and gardening
tips.
Additional Features
Plant Care Guides: Provide plant care tips, guides, and articles for customers.
Live Chat Support: Implement a live chat feature for customer support.
Tools:
HTML,CSS,Bootstrap, JavaScript,jQuery, PHP, MySQL
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Recipe Book
Project Domain / Category
Web Application
Abstract / Introduction
We are living in a fast paced world, where the need for a comprehensive and user-friendly platform
for discovering, sharing, and organizing recipes has become increasingly essential. Our Recipe Book
Website is designed to cater to this demand, offering an extensive collection of recipes from various
cuisines and dietary preferences.
Functional Requirements:
We will have two panels in this website: Admin & User
Registration:
User will register first, so that they log in to the system.
Login:
Admin and user will login to the system (after registration) using id and password.
Manage users:
Admin will manage all the users.
Manage Recipes:
User will add recipe including their ingredients, step by step method, image of that particular
recipe also they can manage their recipe afterwards by updating or deleting them.
Categorize Recipes:
User will categorize all there added recipes whether they are desi, continental, gluten-free,
dietary recipes etc. ( You can add more categories as well)
Approve/ Disapprove Recipe:
Admin will approve or disapprove recipe based on whether the user posted some authentic
content or to check restrict user to not post any gibberish text as a recipe.
View Recipes:
Admin and user both can view all the recipes.
Search Recipes:
User & Admin both can search any recipe based on their names or category.
Social Media:
User can post any recipe directly from the website to any social media platform.
Tools:
C#, .net, Visual Studio, SQL, Tomcat
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RESIDENTIAL AUTOMATION SYSTEM
Project Domain / Category
Web based Application
Abstract / Introduction
Develop in automation system for residential Units like towers that have multiple flats in which
tenants are leaving there on rental basis. All the operations performed in those residential towers
need to be automated. The traditional operations performed by the manager of the tower are to
register the tenant and assign a particular flat or room. Collect Rents from those tenants on monthly
basis. Apart from that manager pay the utility bills from the income and also calculate the
expenditure like salaries paid to the sweepers and watchman etc. All those activities need to be
automated in the form of a web based application.
The monthly income should be distributed among owners and data should be stored in the data
storage Unit of the web application. There should be two dashboard one for the internal users like
manager owner and other dashboard should be used for the clients or tenants so that they would
see their rent detail when they pay the rent.
Functional Requirements: Provide a bulleted list of functional requirements
Flat and room detail registration in the system
Register Tenants those customers who are interested to get flats or room on rent
Assign flats to the tenants which are vacant
Register employees working in that residential tower like sweeper watch man manager etc
Register owner detail of the residential tower
Collect monthly rent from the tenants
Daily expenditure forms
Calculation of income
Share income with the owners if there are multiple owners
10.Two dashboard one for tenants and other one for owners and managers
Tools: PhP language, My Sql Database, XAMP Server
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Sale Purchase of Automobiles and Spare Parts
Project Domain / Category
Web Programming.
Abstract / Introduction
The “Sale Purchase of Automobiles and Spare Parts” is a web-based platform that offers a
comprehensive solution for users to buy and sell automobiles and spare parts in an online
marketplace conveniently. This platform provides a seamless experience for buyers and sellers,
facilitating listings, negotiations, transactions, and communication. Users can create detailed listings,
featuring vehicle specifications or spare part details, multiple images, and price information. The
system includes features such as a secure transaction process, in-app messaging, reviews, and a userfriendly administrative panel for content moderation.
Additionally, the platform employs geolocation services and supports online payment methods. This
project will provide students with a comprehensive understanding of web development, ecommerce, and database management.
Functional Requirements:
The system should support User Registration/Authentication based on user roles (buyers,
sellers, admin). It should allow users to manage their Profiles to update information.
Admin should have access to manage the users and should have the right to block sellers
based on poor ratings.
Sellers should be able to create listings for vehicles and spare parts. The system should allow
multiple image uploads and image management for each listing.
The system should support adding Vehicle details (make, model, year, mileage, VIN, etc.)
and spare part details (part name, compatibility, condition, price).
The products should be Categorized and filtered for easy navigation including the search
functionality with advanced filters (price range, location, condition, etc.).
The system should support adding Detailed product pages with descriptions, specifications,
and seller contact information which needs to be accessed by the buyers. It should include
negotiation options for the pricing where applicable. It should include Google Maps
integration for showing the location of items and sellers.
The system should include Reviews and rating features for both products and sellers.
The system should implement an In-app messaging system for communication between
buyers and sellers.
The system should also include transaction management with the following features:
a. Cart system for adding items for purchase.
b. Checkout process with some payment options.
c. Order tracking and order history for users.
d. Ability for buyers to initiate returns or report issues with purchases.
Tools:
HTML/CSS, PHP, MySQL, Xampp, Any suitable IDE
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Online Courier Management System
Project Domain / Category
Web
Abstract / Introduction
The Courier Management System is a web-based platform designed for the courier logistics industry.
It allows courier and logistics companies to streamline their operations by reducing paperwork and
increasing accountability for goods involved in the delivery process. The system also enables quick
and easy management of transporting parcels from one point to another, as they can be easily
tracked compared to traditional manual systems of recording information. With this system,
messages are sent to the receiver and sender to track the parcel. Courier service employees can use
the system through an easy-to-navigate graphical interface for efficient processing. Once the parcel
is processed, a notification is sent with the estimated time of delivery. Customers are updated in
case of any delays, and a notification is issued for pick-up. If the receiver is far away, they can request
a delivery, and the delivery dashboard is updated accordingly. When the parcel arrives at the
destination, the dashboard is updated to reflect delivery. This system reduces the need for manual
handling at the front desk, thereby reducing the loss of goods and services and improving
accountability in terms of credit.
Functional Requirements:
➢ The admin must submit their system credentials to access the admin side after logging in.
➢ After logging in, the admin is redirected to the default dashboard which displays a summary
of the system data.
➢ The admin can now submit information for new branches through the New Branch Page of
the courier company.
➢ The Branches page displays and manages all courier company locations.
➢ The system admin can create new users for specific branches.
➢ The Branch Staff List Page displays and manages all system users across branches.
➢ The New Parcel Page is where system users can submit information about parcels, including
details of the sender, destination, date, time, amount, recipient and all.
➢ The Parcel List Page is where parcels are listed and managed. It is the page where you can
view and organize all your parcels in one place.
➢ The Parcel List Page is the page where the parcels are displayed and managed. It provides a
list of all the parcels and allows users to perform various actions on them such as adding,
editing, or deleting parcels.
➢ The Track Parcel Page displays the current location of the client’s packages.
➢ The Report Page displays a printable list of courier transactions with clients.
Note: More functional requirements can be added at the Admin and the User side.
Tools:
PHP, JavaScript, C#, .Net Framework, MySQL, or as per your own choice.
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Website for VU Blood Donation Society
Project Domain / Category:
Web Application
Abstract / Introduction:
Blood is the essential element of human body. About seven 7% of human weight consists of blood.
In conventional way blood is donated though some blood organization or Blood banks. Blood bank
is thought to be the place where blood is collected from the donor and stored/preserved for a period
28 to 35days for later transfusion. Blood banks also do not support online blood donor database. The
number of donors are increasing with increase in population of the country thus we need to have an
effective system to have better control and management of data. Using traditional techniques of
data entry by operator a lot of issues may happen, like the risk of outdated data, human boredom,
error in data and cost etc. Owing to solve all the problems the study is done on an automated Blood
bank. In the present traditional system, the factors like gender, age, last date of blood donation,
frequency of blood donation per year are not recorded which is given vital importance in this study
and used as recruitment factors in blood donation. So, the prime objective of the project is to find a
more efficient way in blood donor database management and to create a medium for people to get
connected with potential blood donors around the locality.
Functional Requirements:
Donor:
Registration (After registration a donor must need administrator approval).
Login/logout.
Modifying profile (profile also contain donation history).
Searching record.
Requests for blood donation according to his/ her blood group.
A webpage showing patient requests according to relevant area.
Patient:
Registration.
Login/logout.
Modifying profile.
Search active donor record (There are also sleeping donners and this state will be
maintained for six months from donation).
Requests for required blood (any blood group).
Administrator:
Login/logout.
Modifying profiles
Add/delete/block donor.
Approve donor after verification.
Send messages to registered donor/patient.
Tools: PHP, MySQL, Xampp Server OR any framework (React.js, Angular, Ruby on Rails or Django)
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Auto Assignment Evaluation
Project Domain / Category
Web Application
Abstract / Introduction
Assignment is a great tool to assess the knowledge of students that they studied. In online learning
system the number of students are huge. So, marking of a large number of assignments is very
difficult and time consuming activity. Automated assignment evaluation system can help us to mark
assignments quickly and efficiently. AAE is an AI based application that will check the programming
assignments of C++ language on the basis of different already defined rules.
Functional Requirements:
Following are the some functional requirements of the required application.

Provide an interface to teachers to upload assignment task in the form of MS Word document.
Provide an interface to students to download assignment task file.
Students should be able to upload solution code file only in .CPP format.
Application should be able check the syntax errors and provide the feedback of errors in the
form of comments.
Teacher can define the evaluation criteria of each uploaded assignment which includes
functionality and quality of code.
The application should have automated testing of correctness of the submitted solution on
the basis of rules provided by teacher.
The application should be able to execute the code and test it with predefined inputs and
expected outputs.
The application should auto generate feedback for students, highlighting errors, suggesting
improvements, and providing a grading rubric.
The application must be able to evaluate at least C++ code.
The application assign marks to each assignment on the basis of calculation on predefined
assessment criteria and rubrics.
The application should be web based which can be integrated to any LMS later.
On declaration of result, students should get notification on their account.
Tools:
Python
ASP.NET
PHP
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e-Carpool
Project Domain / Category
Web based Application
Abstract / Introduction
e-Carpool is a web-based application that is designed to support the car sharing system and gives the
advantage to the drivers and passengers to connect for a pool ride. The purpose of this website is to
facilitate drivers and passengers in their busy schedule to have safe and economical rides from their
own location.
This application provides an online experience to users to manage daily, weekly, monthly, or tripbased rides according to their needs. The drivers can manage the rides by either adding pre-defined
routes (daily, weekly, monthly, trip based) or can customize their rides according to their own
choices. It will keep an updated list of routes based on the demand of the users. The route
information contains the location (source, destination), start time, end time, charges, no. of vacant
seats for passengers.
SMS & emails will be sent to regular users on the availability of new routes and promotions or
discounts. The administrator can manage the users and publish the advertisements on the request
of drivers and make them available to the users.
It gives a chance to passengers to know about the upcoming rides and create the ride requests,
accept the bookings, and complete the payment. A feedback form and reviews will be provided in
this application to maintain customer trust and satisfaction. Users can view the feedback and reviews
of other users regarding their experiences. Vehicle owners and passengers can both rate each other.
Functional Requirements:
There will be following users in this application:
Administrator
Drivers
Passengers
The functional requirements of these panels are as follows:
Administrator will be able to:
Login to allow authentication of user to access the admin panel.
Add, update and delete the users of the system.
View the user’s profile, feedback and reviews.
Add/update/delete information about promotions and discounts.
Send SMS to regular customers on any promotion and discounts.
Publish the advertisements on the request of drivers and make them available to the users.
Drivers will be able to:
Get themselves registered in this application and then will be able to access the web site by
logging into system.
Add, update and delete his/her profile.
Add the routes (daily, weekly, monthly, trip based).
Customize his/her own ride according to his/her own location.
Receive and accept the upcoming rides request.
Update or cancel the booking.
Add the promotions and discounts on web site as well as via SMS.
View the feedback and reviews of users regarding their experiences.
Provide their feedback and rate the users.
Passengers will be able to:
Get themselves registered in this application and then will be able to access the web site by
logging into system.
Add, update and delete his/her profile.
View/search the rides based on routes (daily, weekly, monthly, trip based).
Customize his/her own ride according to his/her own location.
View the upcoming rides, book the ride and complete the payment.
Update or cancel the booking.
View the promotions and discounts on web site as well as via SMS.
Provide their feedback and rate the driver.
View the feedback and reviews of other user regarding their experiences.
Tools:
Language: C#, Java, PHP
Tools: .Net Framework, NetBeans, SQL Server, MySQL etc.
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Contractor Information System
Project Domain / Category
Web Application
Abstract / Introduction
Building contracts are the mutual consignment between owner and contractor. Each and everything
regarding building material and labour is discussed and signed. After that materials is purchased and
labour work is started. Each contractor have multiple contacts with different owners with different
requirements. That’s why the expenses and labour management is hectic cost.
Contractor have to handle all this manually and sometimes it becomes difficult to track all
expenditure when many construction projects are in progress in parallel. So, manual task would
increase the extra burden with chances of mistakes.
The proposed web based project will tackle all the information entered on each construction site and
contractor will be able to plan accordingly by viewing data.
Functional Requirements:
Functional requirements are as under:

Admin will be able to save information of owner and contractor i.e name, contact numbers,
address etc.
Admin will be able to enter site detail of any new Building Project type i.e Plaza, House, etc
with detail such as address, covered area, material type which will be used with brand for the
following:
i. Floor Tile, Bath Tile, Front Elevation Tile
ii. Cement type
iii. Gate
iv. Water pump and Water Tank with Plumber Pipe and Tap
v. Base, Beams
vi. Roof Slab Type i.e RCC
vii. Paint
viii. Steel
ix. Wood, Window, Door
x. Bricks, Sand, Concrete, Stone
xi. Electricity wire and Switches
Admin will register/delete the data entry users according to no. of sites on which construction
and development is going on.
Each user will enter/edit/ delete information about material used at sites on daily basis.
Each user will be able to enter/edit/ delete information about persons working on sites i.e
Name, Father Name, Address, and Phone, expertise (Architects, Civil Engineer, Electrical
Engineer, Mason, Plumber, Painter, Interior Designer, Carpenter) with working date and time.
Summarized data required in report form i.e total no. of working days for each person, Labour
Paid, Remaining Labour etc. Material used category wise, cost on each material, total cost etc.

Tools Used:
HTML, CSS, Java Script/ Boot Strap
PHP/Python/Java with MySql /SQL Server DBMS
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Integrated Medical Care (IMC)
Project Domain / Category
Web Application
Abstract / Introduction
Globally, the use of online health services have accelerated dramatically during the corona virus
pandemic. Technology meets health care services very well in that time,but still we don’t have an
online integrated service of health that provide every thing like book an appointment a doctor expert
in specific domain,Home laboratory collection services,patient transfer service(ambulance),home
nursing services and online pharmacy services under a single umbrella . IMC is such an online
integrated health care service providers that can provide all these services through a website. So,
there is a need to develop an E-commerce website that helps different health care providers like
hospitals /clinic ,pathology labs,pharmacies and ambulance service providers to get register on IMC.
The core objective of the IMC project is to develop a website that facilitates the health care service
providers to registers into this web portal and update regarding doctors , screening test , quality
medicines etc on comparative and discounted rates with 24/7 medical care at home.
Functional Requirements
Administrator Panel:
✓ Manage login process to allow the authentic user to access the admin, patient/customer, and
health care service providers(like doctor,hospitals/clinic ,pharmacy,ambulance transport
providers etc).
✓ Create and manage their account.
✓ Keep the record of health care providers (like name,doctor fee,Price of particular medicine or
test, ambulance transport fare etc)
✓ Keep agreement between health care providers and administrator on quality.
✓ Add/update/delete specific health care provider record.
✓ Record the patient/customer feedback
✓ Keep the record of the customer.
✓ Add/update/delete customer.
✓ Keep the record of patient/customer order or request status.
✓ Set the fee of doctor according to doctors qualification, experience and rating etc.
✓ Manage the record of customers.
✓ Manage customer history.
✓ Manage the rating of health care providers.
✓ Deliver the order to the customer/patient.
✓ Receive the fee payment from a health care providers .
✓ Send promotions to registered customers by offering discounts and promotions and also a rating
of health care providers.
✓ Manage revenue and expense records.
✓ Inventory management record.
✓ Keep a record of customer feedback.
Health care service providers panel:
The panel will do the following:
✓ Create an account or register him/herself on IMC
✓ A health care service provider will sign in.
✓ A health care service provider accept IMC Terms and conditions.
✓ Add/Update/Delete the service charges
✓ Deliver the order to the customer/patient
✓ Receive payment.
Customer panel:
✓ Create an account or register him/herself on IMC.
✓ View the health care providers
✓ View the rates/prices
✓ View the health care providers ranking.
✓ Place the order by selecting the mode of payment.
✓ Confirm the order.
✓ Delete the order before confirming it.
✓ Submit feedback.
Tools:
Visual Studio, .NET Framework, C#/Java, SQL Server
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Learning Management System for Formative assessment of Academic Courses
Project Domain / Category
Web Application
Abstract/Introduction
The introduction of computerized formative assessments in the classroom is viewed as an important
means to understand learners’ performance in the learning process. Generating high-quality
examination questions manually by teachers is a time-consuming task. Secondly, it is not easy for
teachers to perform immediate assessment of subjective questions. Automatic generation of
subjective and objective questions and evaluating their answers is highly challenging task in natural
language processing and educational technology.
The aim of this project is to design a Learning Management System to enhance the learning
experience by providing personalized, adaptive quizzes and subjective questions tailored to
individual students’ progress and areas of improvement. The system could leverage machine learning
algorithms to analyze students’ performance, identify weak areas, and generate targeted formative
questions and automatic evaluation to strengthen student engagement and academic success.
Functional Requirements:
Learning Management System with computerized formative assessments for both objective and
subjective questions where all students could be tested at the same time and with the same
number of test administrations during the semester.
The proposed system will have the following main users:
Admin Teacher and Student.

Registration module: It will facilitate the registration process for students and teachers. Admin
will approve and perform activation of the students and teachers accounts and registration
requests.
Login Module: After successful registrations, all types of the users will be able to login to the
system using their registered email and password.
Your application will assist the teacher with the automatic generation of quizzes and
subjective questions.
Furthermore, your application will generate the objective and subjective questions of
computer science courses including Operating System, Data Structure, Theory of Automata
and Introduction to Programming Using C++.
Teacher can gather a labeled dataset of existing objective and subjective questions and their
correct answers.
Learning Management System is able to generate multiple-choice, true/false, and matching
questions and Option to specify difficulty levels for questions.
Train a supervised machine learning model (e.g., using a classification algorithm) to generate
objective and subjective questions based on the learning patterns from the dataset.
Train a supervised model (e.g., a classification model) to assess the correctness of objective
and subjective question answers.
Teaches can able to do Integration of automated generation of questions with a question bank
for diverse content of different computer science courses.
10.Teachers have support for various automatic subjective question formats like short, long
answer questions and problem-solving questions.
11.Teachers are allowed for automatic customization of scoring rubrics for different subjective
questions.
12.Teachers able to define Rubrics for assessing subjective questions, considering factors like
content, structure, and depth.
13.Teachers are able to generate overall performance reports for individual students enrolled in
different courses.
14.Teacher is able to perform analytics to track question effectiveness and identify challenging
topics.
Student is able to get immediate feedback on objective and subjective question responses,
including correct answers and explanations, to facilitate learning and self-assessment.
16.Ensure the platform is mobile-friendly, allowing students to access learning materials and
assessments on various devices, including smartphones and tablets.
17.The platform should adapt and recommend personalized learning paths based on individual
strengths and weaknesses identified through assessments.
18.Ensure that the platform supports multiple languages to accommodate a diverse student
population.
19.Allow students to share their achievements or ask questions via social media integration,
promoting a sense of community and enabling broader discussions.
20.Include a help center, FAQs, or chat support to assist students in case they encounter any
issues or have questions about the platform.
Tools: JSP, PHP, Python, JavaScript/HTML/CSS, PyTorch, Keras and TensorFlow, JSP, MySQL
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Maritime Education System & Job Portal
Project Domain / Category
Web Application
Abstract / Introduction
The Maritime Education System and Job Portal is a web-based platform designed to provide a
comprehensive resource for maritime education and job opportunities within the maritime industry.
This proposal outlines the development of a website that will offer a wide range of maritime courses
and training programs while also serving as a job portal for industry-specific job postings.
The Maritime Education System and Job Portal will be a central platform for maritime education and
employment opportunities. This system will allow administrators to manage courses, training
programs, and job listings, while students and job seekers can browse and apply for courses and
employment opportunities.
Objectives

To create a one-stop platform for maritime education and job-related activities.
To facilitate the seamless management of maritime courses, training programs, and job
listings.
To provide users with advanced search and application features.
To ensure data security and user privacy.
To support the growth and development of the maritime industry workforce.
Scope
The platform will cover various aspects of the maritime industry, including education and
employment. It will provide a user-friendly interface for both job seekers and employers to find
relevant opportunities.
Functional Requirements:
Our Complete System will have:
Maritime Education System:
Course and training program management
User registration and profile creation
Course and program search and filtering
Application for courses and programs
Course progress tracking
Messaging and notifications
Maritime Job Portal:
Job posting and management
Employer registration and profile creation
Job search and advanced filtering
Job application submission
Communication with job applicants
Resume storage for job seekers
User Roles
Administrator
Student (Course Applicant)
Job Seeker
Client (Employer)
The website will be developed using a client-server architecture with RESTful APIs for
communication. Data will be stored in a relational database for scalability and security.
Conclusion
The Maritime Education System and Job Portal website project aims to provide a valuable platform
for maritime education and employment opportunities, making it easier for individuals to access
training and job openings within the maritime industry. We are excited about the potential impact
of this project and look forward to your approval and collaboration to bring this platform to life.
Tools:
Frontend: HTML5, CSS3, JavaScript, React
Backend: Node.js, Express.js
Database: PostgreSQL or MySQL
Authentication: JWT (JSON Web Tokens)
Hosting: AWS or Azure
Version Control: Git
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MOBILE PHONE DATA EXTRACTION AND RECOMMENDATION SYSTEM
USING MACHINE LEARNING
PROJECT DOMAIN / CATEGORY
Web Application
ABSTRACT / INTRODUCTION
This Project proposes the development of a comprehensive system that extracts mobile phone data
from online sources and compiles a data-set containing essential fields related to mobile phones,
including brand, model, specifications, and images. The collected data-set will serve as the
foundation for training a machine learning model that aids users in selecting the most suitable mobile
phones based on their preferences and needs. Additionally, the model will predict resale values,
assess parts availability, and estimate repair costs, ultimately providing recommendations on the
best mobile phone models.
FUNCTIONAL REQUIREMENTS
Data Collection and Scraping:

Develop web scrapers to extract mobile phone data from various online sources,
including e-commerce websites, manufacturer websites, and review platforms.
Gather information such as brand, model, screen size, screen type, refresh rate,
storage size, RAM size, charging port type, battery capacity, charging watts, and
network technology.
Retrieve image paths for each mobile phone for future display.
Data Pre-processing:
Clean and structure the collected data, handling missing values, duplicates, and
inconsistencies.
Standardize data formats and categorize information for efficient analysis.
Data-set Compilation:
Create a dataset that compiles the extracted mobile phone data, making it available
for model training and analysis.
Machine Learning Model:
Develop a machine learning model that considers user preferences and requirements
to recommend mobile phones.
Implement features for predicting resale values, assessing parts availability, and
estimating repair costs.
User Interface:
Design an interactive web application where users can input their preferences and
requirements for a mobile phone.
Display recommended mobile phone models along with the mobile picture and all
relevant details based on the machine learning model’s predictions.
Feedback Mechanism:
Integrate a feedback system for users to provide insights, helping improve the model
over time.
Legal and Ethical Considerations:
Ensure compliance with copyright and data usage regulations when scraping data
from external sources.
Implement privacy and data protection measures to secure user information.
PROJECT BENEFITS
Informed Decision-Making: Users will have access to comprehensive information to make
informed choices when selecting a mobile phone.
Time Efficiency: The system automates the data collection and analysis process, saving users
time on research.
Cost Savings: Predictions on resale value and repair costs help users assess the long-term
value of their investment.
Enhanced User Experience: A user-friendly interface simplifies the process of selecting the
best mobile phone based on individual needs.
Eco-Friendly: By predicting resale value and parts availability, the system encourages
sustainability by extending the life of mobile devices.
TOOLS:
⚫ Programming Languages: Python for web scraping, data processing, and machine learning.
Web-based technologies (HTML, CSS, JavaScript) for the user interface.
⚫ Web Scraping Tools: Utilize libraries like BeautifulSoup and Scrapy for web scraping.
⚫ Machine Learning Framework: Employ machine learning libraries (e.g., scikit-learn,
TensorFlow) for model development.
⚫ Data Storage: Use a database (e.g., PostgreSQL or MySQL) to store and manage the
collected data. You can also use Excel.
⚫ Deployment: Deploy the web or mobile application on a Local server.
LEGAL AND ETHICAL CONSIDERATIONS
Respect copyright and data usage regulations when scraping data from external sources.
Implement privacy and data protection measures to secure user information.
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Multilingual News/Article Website (Next.js/Strapi/Postgres)
Project Domain / Category
Web Application
Abstract/Introduction
To create a multilingual news/Article website using the Jamstack architecture, you’ll need a set of
requirements and components to ensure a smooth and efficient implementation.
Here are the key functional requirements for such a website:
Content Management System (CMS): Choose a headless CMS that supports multiple languages
and allows for easy content creation and management. Popular options Strapi.
Content Localization: Ensure that your chosen CMS provides support for content localization,
allowing you to store and manage content in multiple languages.
Static Site Generator (SSG): Select a Jamstack-friendly SSG Next.js to generate static HTML files
for your website. These SSGs can easily handle multilingual content.
Language Switcher: Implement a language switcher on your website that allows users to switch
between different languages (Urdu/English only). This can be a dropdown menu, flags, or text links,
depending on your design.
Internationalization (i18n) Library: Utilize an i18n library like react-i18next or vue-i18n to handle
text translations within your web application. This will help manage translations within the user
interface.
URL Structure: Develop a clear and SEO-friendly URL structure that includes language codes (e.g.,
example.com/en/news) to differentiate content for search engines and users.
SEO Optimization: Implement proper meta tags for each language version of your content to
improve SEO and search engine ranking in different regions.
Responsive Design: Ensure that your website is responsive to various screen sizes and devices to
cater to a diverse audience.
Feedback Mechanism: Provide the user to comments on your news or articles
By meeting these requirements, you can develop a robust and user-friendly multilingual news
website using the Jamstack architecture.
Subscription Renewals and Notifications: Implement renewal reminders and notifications for
users in their chosen language to ensure they don’t miss important subscription events.
Administrative Roles
Roles in the admin area of a multilingual news website typically involve two levels of access a
Super Admin / Administrator:

Responsibilities: Overall site management, user management, access to all features, content
moderation, and configuration settings.
Access: Full access to all admin functionalities.

Content Editor / Manager:

Responsibilities: Content creation, editing, and publishing. Managing articles, images, videos,
and other media. Ensuring content is accurate and up to date.
Access: Access to content management features.
3- Frontend Users
Frontend users can enter their article in both languages Urdu/English.
NOTE :
There must be different categories for the news like political, social, religious, local, global, sports,
money market, fashion etc.
Tools:
Indicate development environments / IDEs / Any other tools required in this project

React.js
-Next.js
-Strapi
-Postgres
-SendGrid (Email Marketing Tool)
-Cloudinary for pictures
-VS Code
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Bazaar.com –Online Shopping Mall
Project Domain / Category
Web Programming
Introduction
An online shopping mall, often referred to as an e-commerce marketplace or virtual shopping center,
is a digital platform that brings together multiple retailers and sellers to offer a wide range of
products and services to consumers over the internet. It provides a convenient and centralized
location for people to browse, compare, and purchase a diverse array of goods, including clothing,
electronics, home appliances, books, and much more. These platforms host numerous individual
sellers, brands, and retailers within a single website. Sellers can set up their virtual storefronts and
list their products for sale, making it a competitive marketplace where consumers can compare
prices and offerings. Shopping in an online mall is incredibly convenient, as it can be done from the
comfort of one’s own home, office, or even on the go using mobile devices. This eliminates the need
for physical travel and allows customers to shop at any time, 24/7.
This website (online Mall) will have a homepage that showcases featured or new products. Products
are usually organized into categories (e.g., electronics, clothing, home decor, etc.). Users can browse
these categories to find the type of products they are interested in. An essential feature is a search
bar that allows users to search for specific products or brands. A user will be able to purchase / make
order against available items after getting registered or as a visitor on the website and passing
through the payment method (cash on delivery). The website will provide interactive interfaces and
rich search facility for finding different types of products through different filters. The website will
allow its registered users/visitors to record their comments/reviews against any purchased item. The
comments / reviews will be published on the website with the item information. Besides, the
registered users will be able to submit their complaints / feedback regarding the website services.
Functional Requirements:
Following are key functional requirements for the proposed system:
User Registration/Sign Up, Sign in:
There will be proper interfaces for user registration and Sign in for the following four types
of the users of the website:

Visitor (Unregistered User)
Registered user (Buyer/Customer)
Registered user (Seller)
Registered user (Administrator)
Note: During signup you can have a field asking his/her role.
Roles of the users will be as follow:
Visitor will be able to visit the website to search products on the website and can buy
but won’t be eligible for a discount.
A user registered as a Buyer/Customer will be able to place order on the website with
special discount of 5%.
A user registered as a Seller will be able to open a store on the website and can sell
goods.
The Administrator (Admin) will have all the rights/privileges:
✓ of information management regarding the items, stock management, as well
as user management.
✓ Admin will approve the registration requests from the other users
(Buyer/Seller).

Admin Panel:

There will be a proper Admin Panel through which the Admin will be able:
✓ to perform category management of product as well as
✓ user management (accepting / rejecting user registration requests).

Seller Panel:

There will be a proper Dashboard comprising of interactive interfaces through which a
Seller can add / delete / update all information such as description, price, stock,
images etc. of products.

Search facility:

The website will provide interactive interfaces and rich search facility for finding
different types of products through different filters.
User can search by:
✓ product name
✓ category
✓ Company name / Brand
✓ Pricewise
✓ New arrival
✓ Sale
✓ Best sellers
Search results will be displayed on the screen showing the image, name, and company
name etc. of the product(s).
If the user clicks on any specific image:
✓ All detailed info about it will be displayed including the seller shop
name/quantity available and size (if applicable) etc.

Placing Order on the Website:

The website will allow the visitor / registered user to make order against their selected
items. There will be proper interfaces on the website in this regard.
The user will first have to select the item to put into the shopping cart, and then will
have to pass through any of the payment method which will be:
✓ cash on delivery only.
Confirmation Email on transaction (Order Placing):
✓ A confirmation email on successful transaction will be sent to the user’s
provided email.

Comments / Reviews:

The visitors / registered users will be able to submit their comments / reviews on the
website against any purchased item.
✓ They should be able to upload any image(s) in support to their reviews.

Complaints / Feedback

The registered users/visitors will be able to submit their complaints / feedback
regarding the website services through related interface on the website. This
information will be submitted to Admin.
Note: Visitor’s feedback should be saved in the database as anonymous user (or if he/she
provide his/her name).

Inventory of products:

This project will have a back-end database where information about all types of users
is stored.
All types of information about bought/sold products is kept.
So, you need to maintain the product inventory. Means, if a shirt of a specific brand
(belonging to a certain seller) is sold, the available stock must be made one less right
away.
Tools:

PHP and MySQL (You can choose any framework such as Laravel)
Bootstrap or any other CSS Framework.
Any JavaScript library/ framework such as jQuery, Vue Js, react Js or angular Js
Supervisor:
Name: Ayyaz Altaf Mirza
Email ID: Ayyaz.altaf@vu.edu.pk
Skype ID: live:.cid.71f50448c186e933
Online Toys Finding Application
Project Domain / Category
Web Application
Abstract / Introduction
In this project, we will build a web based application named as “Online Toys Finding Application”, in
which the user will search for particular toy(s), purchase it and the admin will deliver the toy(s) to
the user.
Admin panel features
Admin can login/logout.
Admin can add, update and delete different categories of toys.
Admin can add, update and delete different toys information such as toy name, picture, price,
quality etc.
Admin can view the order of the user in which all details should be visible to the admin like,
selected Toys, total price, shipping address etc.
Admin can generate voucher for the user.
Admin can verify the user online dues or paid vouchers and after the verification, the Admin
can deliver the order.
Admin can add, update, and delete the shipping charges city wise and when the user provide
city name in the shipping address, the shipping charges should automatically added with the
total price of the order.
Admin can view the user request for a particular toy and can provide feedback accordingly.
Admin can manage the stock.
10.Admin can manage expense reports.
11.Admin can manage profit reports.
User/Parent panel features:
User can register.
User can login/logout.
User can update his/her profile.
User can search the toys as per his/her choice.
User can view all the available toys information such as toy picture, its category, price, etc.
User can send a request for a particular toy (if not available). At the time of request, the user
should provide some information like toy name, picture (if available) and further description
of the toy.
User can add as many as per his/her choice toys to the shopping cart.
User can add or delete any item from the shopping cart.
The Total Price of toys should be automatically adjusted after the addition or deletion of toys
in the shopping cart
10.User should provide the complete shipping address, when the user confirm the order.
11.User can pay the total dues online or the user can download the voucher and paid it and then
upload the paid voucher.
12.User can check the status of his/her order.
Tools:
XAMPP Server, MySQL, PHP language
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Police Management Information System (PMIS) for Staff and Criminals Data
Project Domain / Category
Web Application
Abstract / Introduction
Management Information System (MIS) is a computer-based system consisting of hardware,
software, networked devices, and information that serves as the backbone for any organization. An
MIS gathers data from multiple online systems or resources, analyzes the information, and produce
reports to aid in decision-making.
Police Management Information System (PMIS) for staff and criminals data is a web portal that is
used to convert the manual information system of Police department into online web system. This
system is capable to collect online data from various police stations located in various districts of the
province. The Police stations will connect to the portal through VPN or App, using authentication
mechanism of username and password. The collected information includes the Police staff and
criminals data that will be provided by the administrations of Police stations, located at far flung area
of the province.
This system will facilitate each level of management in Police Department. Using this portal, the top,
middle and low level management of Police gains the information about police staff and criminals to
improve their performance and carry out optimal decision making for keeping piece in districts and
province.
Functional Requirements:
User:
➢ The user will login to the system using authentication mechanism
➢ Search the District, Tehsil and Police station
➢ Add the staff and criminal’s data at police station level
➢ Search/Edit/Delete the data at police station level
➢ Search and view the staff and criminal’s data at Tehsil and District level
➢ Generate reports at police station levels
➢ Generate reports at Tehsil level about staff and criminals
➢ Generate reports at District level about staff and criminals
Administrator Login: An authorized admin can login to the system to:
➢ Assign/update/delete username and password to end-users
➢ Add the name of Districts, Tehsil and Police stations
➢ Edit/delete the name of District, Tehsil and Police station
➢ View/edit/delete the District, Tehsil-wise staff and criminal’s data
➢ View/edit/delete the police station-wise staff and criminal’s data
➢ Generate various reports about staff and criminals at different levels
Tools:
Indicate development environments / IDEs / Any other tools required in this project
Front-end:
➢ HTML
➢ CSS
➢ JavaScript
Back-end:
➢ PHP
➢ MySQL
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Progressive Website for a Training Company
Project Domain / Category
Web Application
Abstract / Introduction
Imagine yourself as a full-stack developer working for a dynamic company that specializes in
providing comprehensive vocational and technical training solutions. Our company is dedicated to
empowering professionals and students with diverse learning methods, including online instruction
(e.g., Zoom and Microsoft Teams), in-person sessions, and a robust Learning Management System
(LMS) platform (utilizing third-party solutions like OpenEdX or Moodle). The core objective of this
project is to design and manage a progressive web application that helps in the efficient management
of students, trainers, courses, and training events. Additionally, the application will host a company
portfolio and blog section.
Functional Requirements:
Some of the functional requirements are:
FR1. Company Portfolio Website:
Create an engaging and informative website to showcase the company’s portfolio,
including its training programs and achievements.
FR2. User Management:
Implement user authentication and authorization to differentiate between students,
trainers, and administrators.
FR3. Courses Management:
Develop a system for creating and managing courses, including course descriptions,
schedules, and materials.
FR4. Trainer Profile Management:
Allow trainers to create and manage their profiles, including their qualifications and
schedules.
FR5. Student Management:
Create a user-friendly interface for students to register, access course information,
and track their progress.
FR6. Training Event Management:
Enable the scheduling and management of training events, including both online and
in-person sessions.
FR7. Training Venue Management
Develop a system for creating and managing different Training Venue
FR8. Payment Management:
Implement a payment method (available in Pakistan) to manage course fee
payments, ensuring secure and convenient transactions.
Tools:
For the development of this application, you have the flexibility to choose the tools and
programming languages you are most comfortable with. However, it is recommended to explore
advanced technologies like JAMstack or the MERN stack for building a robust and responsive web
application.
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School Automation System
Project Domain / Category
Web Application
Abstract/Introduction
School Automation is a Web application that will assist school Administration Staff, Teachers,
Students and Parents. The proposed application will provide interfaces for all Staff members for
entry, update, delete and search etc. The developed application should be able to produce report
against a specific task when required like to find the Total Number of employees, students,
attendance record. Transcript or Result, employee, student profile, fee voucher can also be
generated using Reports facility. Student attendance is made easy by opening the student
attendance interface, where the teacher can easily mark the student’s attendance as “Present” or
“Absent” by clicking the student ID or Name. The Teacher Interface should allow teacher to press
Save button to mark attendance in database. Also this interface should provide student’s
attendance percentage. Staff/ Teacher interface should follow procedure to make sure their
presence by marking their attendances in required interfaces. Teacher interface will also allow
teacher to provide Lecture Schedule, Opening Lecture, Uploading Assignment, and Quiz and these
activities should be visible to all students of a particular class. Parents should also be provided an
interface for giving feedback about the teacher, child performance etc.
Functional Requirements:
Some common functional requirements are:
Create Admin Login
Making User friendly interfaces
Provide Entry, Update, Delete, and Search
Impose validation check on all entry, update, delete, search interfaces
Student Registration
Course selection
Recording Attendance
Fee /Salary calculation
Submitting fee
Uploading/ Solving assignment (Teacher/ Student)
Uploading/ Solving Quiz (Teacher/ Student)
Teacher / Staff member interface to check salary
Report generation of Pass fail, Fee voucher, Total no. of Student in a Class or per year / specific
year, salary slip, DMC, Degree.
Tools: Optional (Python, SQL Server/ SQLITE, PHP, C#/ VB.Net etc.)
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Smart Home Made Food Shop
Project Domain / Category
Web Application
Abstract / Introduction
Now a days, a lot of students, working professionals and many other people who have to stay away
from their homes in apartment, rooms or hostels for some period due to their study, job or due to
any other reason. Many of these individuals always want and prefer to eat only home cooked foods
instead of outside foods due to many reasons. Some of the major reasons are unhealthy, unhygienic,
highly expensive, usage of extra high spices in foods and low quality of foods available at the most
of the food restaurants. On the other hand, homemade foods are very healthy, nutritious and
hygienic. The home cooked food is prepared by washed hands in a fresh and clean environment.
Whereas, most of the restaurant owners are business-oriented, they do not care about customer’s
hygiene and their health. Therefore, many individuals are always in search of homemade foods as it
is more healthier, contains good quality and nutritious value than the food served in the restaurants.
In this scenario, this project aims to benefit these customers as well as the home cooked food sellers,
promoting homemade food as a healthier and more personalized alternative to traditional
restaurant meals. It will be very convenient for these customers to find and get good quality of home
cooked foods from their nearby locations according to their needs and choice. It will also be
beneficial for the home food shop owners to earn from these customers by providing good quality
home-made food services to them. Using this application, customers can register, login and view all
the available nearby home-made food shops. Customer can filter and select any shop according to
their choice and previous ratings of the home-made food products. Similarly, the home food shop
managers can also get customers by registering and logging into the website and setting up their
home food shop profile. After a customer orders a specific home made food item from a shop, the
relevant home food shop will deliver the order to the customer’s address.
Functional Requirements:
There will be four users of this system.
Administrator
Home Food shop Manager
Customer (Registered user)
Unregistered Customer (Guest user)
Functionalities of Administrator
❖ Admin can Add, Edit, Delete and View Home Food shop profile.
❖ Admin can Approve / disapprove Home Food shop’s registration request.
❖ Admin can Add, Edit, Delete and View customers.
❖ Admin can Add, Edit, Delete and View Home Food item categories.
❖ Admin can Add, Edit, Delete and View Home Food items.
❖ Admin can Add, Edit, Cancel and View customer orders.
❖ Admin can Add, Edit, Delete and View Home Food shop location on map.
❖ Admin can Check order status.
❖ Admin can check the rating given by customers about each Home Food shop.
❖ Admin can check average rating of each Home Food shop.
❖ Admin can check the remarks given by customers about each Home Food shop.
❖ Admin can block a Home Food shop account in case of continuous poor rating.
❖ Admin can view the customer complaints and take appropriate actions.
❖ Admin can generate a report on a monthly, weekly basis for the total number of orders
and their successful handling.
Functionalities of Unregistered Customer (Guest User)
❖ Any unregistered customer (guest user) can only Search and view the registered Home
Food shops in the system.
❖ Any unregistered customer (guest user) can only Search and view any items according
to specific filters (item name, category, price, location and rating etc.) of any registered
Home Food shop.
Functionalities of Registered Customer (Registered User)
❖ Customers can register and login to the system.
❖ Customers can Add, Edit, Delete and View their profile details.
❖ Search and view Home Food shops and its food items in a proper layout on the website.
❖ Search and view any available items according to specific filters (item name, category,
price, location and rating etc.) of any registered Home Food shop.
❖ Order any available Home Food items from any registered Home Food shop.
❖ Check order status.
❖ Give feedback or any complain about Home Food shop if any issue caused during/after
placing order.
❖ Give Rating: Customers can give rating to the concerned Home Food shop after the
completion of order according to his/her satisfaction.
❖ Pay bill: Upon successful completion of any order, customers can either pay the amount
to the concerned delivery person on the spot or can transfer the amount to the
concerned Home Food shop’s account number available on the website.
Functionalities of Home Food shop Manager
❖ Managers can register and login to the system.
❖ Managers can Add, edit, delete and view all items, categories and all information of
their Home Food shop in the system.
❖ Managers can Add Home Food shop’s menu with specific details such as Home Food
item name, picture, price, delivery time etc.
❖ Managers can Manage orders.
❖ Managers can Cancel orders.
❖ Managers Update order status.
❖ Managers can View report of daily, weekly and monthly sale.
❖ Managers can View any complaints of the customer.
❖ Managers can check the rating given by the customers.
❖ Managers can check any remarks (if given) by the customers.
[Note: Student can add/enhance requirements as per need and keeping the time span and
scope in view.]
Tools:
ASP.NET, C#, React JS, Node JS, HTML, CSS, JavaScript, Ajax, JQuery, Bootstrap, MS SQL Server
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Travel Mates- Your Ultimate Travel Companion
Project Domain / Category
Web Application
Abstract / Introduction
The “Travel Mates” project aims to develop a user-friendly web application that empowers travelers
to plan and organize their trips effortlessly. With a focus on ease of use and comprehensive features,
this application will provide an all-in-one solution for travel planning, accommodation booking, and
exploration of tourist attractions.
Functional Requirements:
Following are some of the functional requirements:
User panel:
User Registration and Profiles:
Users can create accounts with personalized profiles.
Profile information includes name, contact details, and travel preferences.
Trip Planning:
Users can create and manage multiple trips.
Each trip allows customization with details like destination, dates, and trip
purpose (e.g., vacation, business, adventure).
Destination Information:
Users can search for destinations and access detailed information, including
climate, local culture, and popular attractions.
Accommodation Booking:
Integration with external APIs for real-time hotel and accommodation booking.
Users can view options, check availability, and make reservations.
Navigation and Maps:
Interactive maps with route planning, GPS coordinates, and offline map
downloads.
Directions and travel distances to chosen points of interest.
User Reviews and Ratings:
Users can leave reviews and ratings for accommodations, attractions, and
restaurants.
Aggregate ratings and user comments provide insight for other travellers.
Weather Information:
Real-time weather updates for destinations.
Weather forecasts for trip duration.
User Notifications:
Notifications for trip reminders, booking confirmations, and recommended
activities.
Customizable notification settings.
Payment method:
User will be able to pay for the trip with any of the following payment method.
a. Debit card
b. Credit card
Admin panel:
Admin will do the following tasks:
User Management:
Create, edit, and delete user accounts.
View user profiles and access registration details.
Content Management:
Add, edit, or remove destination information, including descriptions, images,
and attractions.
Approve or moderate user-generated reviews and ratings.
Trip and Itinerary Management:
Access and review user-created trip.
Resolve issues or conflicts related to trip planning and accommodations.
Provide assistance or recommendations to users planning trips.
Accommodation Management:
Access the accommodation booking system.
Monitor bookings, confirmations, and cancellations.
Handle payment or reservation disputes and refunds.
Notification Management:
Send and manage notifications to users, including trip reminders, booking
confirmations, and general updates.
Configure and schedule automated notifications.
Tools:

Programming languages:
PHP
HTML, CSS, JavaScript
SQL (e.g., MySQL)
Frameworks:
PHP Framework (e.g., Laravel, Symfony)
Front-end Framework (e.g., React, Angular, or Vue.js)
Tools and Editors:
Code Editor (e.g., Visual Studio Code, Sublime Text, PHPStorm)
Database Management (e.g., phpMyAdmin, MySQL Workbench)
API Integration Tools (e.g., Postman, Guzzle for PHP)
Project Management Tools (e.g., Trello, Asana, Jira)
Web Server (e.g., Apache, Nginx)
User Interface Design Tools (e.g., Adobe XD, Sketch, Figma)
(Note: Student can use any other tool/editor as per his/her choice, with same programming
language)
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Weblogr
Project Domain / Category
Web Programming
Abstract / Introduction
In today’s digital age, the internet has become a primary medium for information sharing, personal
expression, and communication. One of the most prominent forms of online content is the blog. A
blog is a versatile and powerful tool that serves various purposes, including personal journals,
informative articles, storytelling, business promotion, and more.
“Weblogr” is a blog platform. This blog platform project aims to create a web-based application
that allows users to publish, edit, and manage their own blogs. This platform will provide a userfriendly interface for both bloggers and readers. Registered users will have the ability to create,
edit, and publish blog posts, categorize their content, and interact with other bloggers through
comments and likes. Readers can browse and search for blogs, leave comments, and follow their
favorite bloggers.
Functional Requirements:

User Registration and Authentication:
⚫ Users should be able to register with the platform by providing basic information (e.g.,
username, email, password).
⚫ Implement email verification to ensure the validity of user accounts.
⚫ Users should be able to log in and log out of their accounts securely.
⚫ There will be two types of users:
◼ Administrator
◼ Common user
⚫ A default “Administrator” account should already be available and its user type (in
database) should be “Administrator”. Whereas, all other user’s type should be set to
“User” in the database.
User Profiles:
⚫ Each user should have a profile page displaying their basic information, profile picture,
and a list of their published blog posts.
⚫ Users should be able to edit their profiles, change their profile pictures, and provide a
short bio.
Blog Creation and Management:
⚫ Registered users should have the ability to create, edit, and delete blog posts.
⚫ The blog editor should allow for rich text formatting, including text styles, images, and
links.
⚫ Users should be able to categorize their blog posts into different topics or categories.
⚫ Include an option to save drafts of blog posts before publishing.
Blog Viewing and Interaction:
⚫ Readers should be able to view and search for blog posts by category or keyword.
⚫ Implement a user-friendly and responsive blog reader interface.
⚫ Readers should be able to like and comment on blog posts.
⚫ Provide a feature to follow specific bloggers to receive updates on their new posts.
Comments and Interaction:
⚫ Users should be able to leave comments on blog posts.
⚫ Implement a notification system to alert users about new comments on their blog posts.
⚫ Include a system for liking and replying to comments.
Content Management:
⚫ Implement a content management system for administrators to monitor and moderate
user-generated content.
⚫ Allow administrators to suspend or ban users who violate community guidelines.
Search and Filtering:
⚫ Implement a search functionality that allows users to find specific blog posts by keywords,
categories, or authors.
⚫ Include filters for sorting blog posts by date, popularity, or user ratings.
Security and Privacy:
⚫ Ensure the security of user data and passwords through encryption and best security
practices.
⚫ Allow users to set their posts to private if they wish to limit access.
⚫ Implement CAPTCHA or other mechanisms to prevent spam and abuse.
Responsive Design:
⚫ Develop a responsive and mobile-friendly design for the platform to ensure usability on
various devices and screen sizes.
Analytics and Reporting:
⚫ Provide users with statistics on their blog post views, likes, and comments.
⚫ Implement a reporting system so that users can report inappropriate content or abuse to
website administrator.
Notifications:
⚫ Implement a notification system to alert users about new comments, likes, and followers.
Project Deliverables:
⚫ Fully functional blog platform website
⚫ User documentation and instructions for using the platform
⚫ Administrative documentation for content moderation and user management
Tools:
⚫ HTML, CSS, JavaScript
⚫ Bootstrap for responsive design
⚫ PHP for server-side scripting
⚫ MySQL for the database
⚫ User authentication libraries or frameworks (e.g., PHP’s password_hash and
password_verify)
⚫ AJAX for real-time interaction
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A CONSTRUCTION PROCUREMENT SYSTEM
Project Domain / Category
Web or Desktop
Abstract / Introduction
Develop a software system to manage the procurement process for a construction company. In
simple term, Procurement is defined as act of buying products or services for commercial purpose.
It is most important department in construction field where procurement in the process of getting
all the materials and labor needed to complete project in time.
Main purpose of the system is keeping an eye on supply chain risk monitoring. It helps to improve
the procurement process and boost the efficiency and accuracy. It automates the entire source to
pay cycle. System shows the availability of supplier, services and products in market. It uncovers the
purchasing trend and offers list of products and services respectively.
It also helps to improve the control on all procurement processes and increase visibility within
organization. It helps to standardize the purchasing process to make employees and vender’s lives
easy. Suppliers enjoy opportunity to get register in the system and make themselves permanent and
trustworthy vendors.
It converts the traditional method of placing bids and purchasing goods to e-procurement process.
Functional requirements
User
Employees of the organization can able to login the system.
System shall allow user/employee to search for available Supplier offering relevant products.
System shall able to display required products and service available in market with location of
supplier, product details and other necessary information.
When user place new bid, system firstly display products from registered supplier.
If user wants to know more offer, system will able to display results extracted from other
source (like google or any other media).
System will be able to score the best vendor (you can compare the vendor offers by comparing
product’s cost, supply cost and product quality etc.).
System shows recommended vendor with all details (location, offer of product and service).
Contract management feature. System shall able to create contract quickly using pre-written
templets. User can able to select relevant templet and system allows users to perform
required changes in the contract.
System has feature of e-invoicing as system able to accept supplier’s invoice online.
Administration
Admin shall be able to add user information
Admin shall be able to maintain user information.
Admin can add contract templets.
Admin can add information of newly registered suppliers in the system, with approval of
higher authority.
Admin maintain supplier and their offers (products and services) information.
Database required:
Information need to store in database: Users of system, registered supplier, offers of registered
suppliers (with product and services).
Tools:
Java, C#, or any relevant tool/language
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Automatic Question Paper Generator
Project Domain / Category
Web based Application
Abstract/Introduction
In the changing present competitive scenario, Intelligent development of question model is required
for intellectual growth of students and to fulfill learning objectives of the course. Although there are
several computer-based question paper generators, they typically use random selection from
question bank. In this system we present a smart question paper generating system. It is made to
allow educational institutes to generate question papers with random but even questions that cover
most chapters of subject and have different difficulty levels. After question paper generation student
will be able to have it in his/her account and from where student can attempt paper offline and
submit from his/her account.
Functional Requirements:
Administrative Functionalities:
Admin Login: Admin would be having a login account. He can add questions in the system and their
respective answers. The answers are stored as a base for reference for AI to use while checking
answers.
Admin Question Insertion: Administrator to input a set of questions and respective answers for
option ticking.
Difficulty Choosing: Administrator will also have to provide weight-age and complexity for each of
these questions. After this the questions are stored in the database along with their weight-age. Now
at the time of question paper generation admin will select the percentage of difficulty against the
number of questions generated in paper.
Random Paper generation: The system now automatically chooses random questions as per the
selected difficulty level. On this selection the system selects questions randomly in a way that their
total weightage makes total 100 marks for each generated paper with the condition that questions
are chosen based on their complexity level.
The questions are also added for various difficulty levels so that as soon admin chooses the type of
paper difficulty (Easy, medium, difficult) the system automatically generates paper.
Wide Chapter Coverage: The system will cover as many chapters as specified in the syllabus for that
subject.
Doc File Creation: The system now exports the well formatted question paper in a doc file.
Student Functionalities:
Student Registration:
Students will register with the system with studentID, username, password, degree program, email
address etc.
Student Login: Student will login in account to check for the paper generated against each course.
Download Paper: Student can download the paper generated for him/her.
Attempt it within timelines and submit the paper.
Grade Book: Student can check his/her grade after it gets marked.
Tools:
This Application uses Asp.net and c#, Python &
SQL database
Reference:

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6449828&queryText%3DQ
uestion+paper+generator+system
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6779494&queryText%3DQ
uestion+paper+generator
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4756830&queryText%3DQ
uestion+paper+generator+system
***************************************************************************************************************************************************************************************
Driving School Booking Portal
Project Domain / Category
Web based application
Abstract / Introduction
The project involves creating an online booking platform specifically for driving schools. This
application facilitate the driving schools and its instructors to register under one platform and
fasciculate a common person to choose driving school according to his preference (Particular
instructor and location). Driving schools will register in this driving school and allow driving
instructors to register under particular deriving school. Developer should get knowledge of driving
school operations and familiarity with the specific needs and requirements of the industry would be
highly advantageous.
Functional Requirements:

The platform will allow users to book driving lessons with their preferred instructors.
Profiling component for Driving school, instructor and common user.
User will have the option to choose from different driving schools and instructors based on
their availability and locations.
The platform will also include features such as reviews and ratings, allowing users to share
their experiences and help others make informed decisions.
User profiles will be available, allowing users to manage their bookings, track their progress
and view their past lessons.
The ability to integrate reviews, ratings and user profiles into the platform is essential.
Driving school have a panel that allow him to approve newly registered instructor
Note: The booking process will be simple and efficient, with clear instructors and options for
customization. The platform will prioritize user experience, ensuring a smooth and user friendly
interface. Strong communication skills and the ability to understand and implement the client’s clear
vision for the platform are necessary. Contact with your supervisor to understand the requirements
properly.
Technology:
Any web based technology
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Faculty Portal for Higher Education Institutes (HEIs)
Project Domain / Category
Web Programming
Introduction / Abstract:
Faculty Portal for HEIs is proposed with aim to create a system where students can search faculty
information of different universities. Student can search a specific faculty detail by Name,
Department, Designation, Qualification, Specialization, Courses and Research interest. As faculty
plays key role in any academic institute especially for higher studies, So, this system will help students
to select the best institute for higher study based on faculty profile. Merging of faculty information
at one place will be helpful for students as they do not have to visit university or individual websites.
So, students’ effort of searching and comparing faculty of different universities will be reduced.
Functional Requirements:
The system should allow students to view different teachers’ profiles.
The system should allow the teachers of different universities to get them registered on the
Portal and upload their CVs/ information.
Your faculty portal should include data of at least ten HEC universities.
The system should store complete information of Teacher such as their name, designation,
experience, email address, office phone number, qualification, specialization, serving institute
etc.
On home page, faculty profiles should be available institute wise.
The system should further allow students to search faculty detail by their Name, Institute,
Department, Designation, Qualification, Specialization, and Research interest.
Initially, short profile of faculty should be displayed with name, and designation.
Clicking on name of any faculty member, users should be directed to another web page
containing detailed information of that faculty member, where your web page should contain
tabs “Profile”, “Publications”, “Conferences, Seminars and Workshops” and “Experience”.
Add relevant information in Tabs created above.
10.Admin should be able to manage complete portal.
11.Database should be maintained based on given functionality.
Note: More requirements can be added as per need.
Tools:
HTML, CSS, PHP, SQL Server/My SQL
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Intelligent mobile app for Quick Pick-Up Food Order
Project Domain / Category
Mobile Application
Abstract / Introduction
In this digital era, due to busy schedules, and lack of time people don’t have stamina to wait, and
everyone wants quick service. That’s the reason ready-made meals have become the need of people
in this age. Because of this habit, at every food point there remains a rush of people all the time. This
intelligent alert application will manage all these hazards efficiently by giving online placing food
order facility to the customers. After the suggested receiving order time, the customer can collect
his/her order. Customers will get their order off the shelf within no time on reaching the restaurant
location. Because of its effectiveness the intelligent alert application has become the need of such
kind of customers in this digital era. Placing orders online will save the time for a customer who must
wait after placing order on the spot-on restaurant location. You need to make an intelligent alert
application for Quick pick-up order within no time with the following
requirements.
Functional Requirements:
Some of the functional requirements are.
Restaurant Owner Module
Owner registration interface
Owner login interface
The owner must have a record of food items in the food store.
The owner must be notified on placing an order.
The owner must be notified about the certain number of food items that are left.
The owner must be notified about Food items consumption forecasting on daily basis
based on the
selling of the food items.
The owner must be notified about the sale at the end of the day on a daily basis.
The owner must receive customer complaints.
The owner must be notified by the customer suggestions.
The owner must be notified of the order cancellation.
Customer Module
Customer registration interface
Customer login interface
Customer order:
Place order online
Input your order by filling in the food menu form with the following fields.
Select food items from the Food items menu with drop down window.
Select Price against selected food item.
Select mode of payment: Online banking through account, credit card, Cash on receiving
Get order slip after paying the food price.
A Customer can cancel his or her order within a time frame.
A customer can suggest including any new choice of food item.
A customer can complain in case of any fault in food quality.
Drive to a restaurant location and then pick it up off the shelf.
Tools and language:
Programing language: Java
IDE: Android Studio
Database: SQLite
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MODERN WORK OPPORTUNITY PLATFORM
Project Domain / Category
Web Application
Abstract/Introduction
The proposed project aims to develop a comprehensive and efficient Job Portal System, a userfriendly online platform connecting job seekers and employers. The system will facilitate job seekers
in creating profiles, searching for jobs, and applying for relevant positions. Employers will be able to
post job vacancies, review applications, and manage their hiring process efficiently. This Job Portal
aims to streamline the job search and recruitment process for both candidates and employers.
User Pannel
These tasks will be managed through Secure login and registration for job seekers and employers.
Employers can post, edit, and remove job listings with ease. Job seekers can search and view job
details without registration. Advanced search options for job seekers, including keyword search and
filters. Job seekers can create and manage their profiles, including personal information, skills,
education, and work experience. Employers can create and manage their company profiles,
showcasing their mission, values, and job opportunities. Job seekers can apply for jobs with a click,
attaching their resumes and cover letters. Employers can view applications, shortlist candidates, and
schedule interviews.
Admin Pannel
There will be a separate Admin Pannel which will include dashboard for administrators to oversee
the platform’s activity. It will also enable the administrator to manage users, job listings, and
reporting features.
This web application will be developed using PHP as the backend and HTML5, CSS3, JavaScript,
Bootstrap for responsive and intuitive user interfaces as frontend.
Database: MYSQL for efficient data storage and retrieval.
Functional Requirements:
Authentication of the User: The system should provide secure login and registration for job
seekers and employers. There should be password recovery mechanisms for forgotten
passwords.
Admin Dashboard: The system should provide a dashboard for administrators to oversee the
platform’s activity.
Profiles: Job seekers can create and manage their profiles, including personal information,
skills, education, and work experience. Employers can also create and manage their company
profiles, showcasing their mission, values, and job opportunities.
Jobs / Job Search Facility: Employers can post, edit, and remove job listings with ease. Job
seekers can search and view job details without registration. Advanced search options for job
seekers, including keyword search and filters.
Application Management Dashboard: Job seekers can apply for jobs with a click, attaching
their resumes and cover letters. Employers can view applications, shortlist candidates, and
schedule interviews. Automated email notifications for application status updates.
Resume Builder: Provide a tool for users to create and edit professional resumes directly on
the platform.
User Reviews and Ratings: Allow employers and job seekers to leave reviews and ratings for
each other based on their interactions and experiences.
Notifications and Alerts: Send email or SMS notifications to users for job matches, application
status updates, and other relevant activities.
Analytics and Reporting: Generate reports on user engagement, job posting statistics, and
application trends to analyze the platform’s performance.
10.Integration with social media: Allow users to sign in or share job listings via social media
platforms to increase visibility and user engagement.
Feedback Mechanism: Implement a feedback system in the project to collect user opinions
and suggestions for continuous improvement of the platform.
Technologies: PHP, MYSQL, HTML5, CSS3, JavaScript, C#, SQL Server
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POS for Retail and Sales Management
Project Domain / Category
Web Based Application
Abstract / Introduction
The Point of Sale (POS) system is a web-based application built using Python and the Flask web
framework. Its primary purpose is to facilitate sales and inventory management for small to mediumsized businesses. This system allows users to manage products, process sales, generate receipts, and
monitor inventory. It’s designed to enhance the efficiency and accuracy of sales transactions.
Significance of Study
The study of this POS system is significant because it addresses the following key points:
Efficiency: The POS system streamlines the sales process, reducing the time required for
transactions.
Accuracy: By automating calculations and inventory management, it minimizes human errors.
Inventory Control: The system helps businesses keep track of their inventory, reducing
overstock or understock situations.
Data Analysis: The POS system generates reports for sales analysis, helping businesses make
informed decisions.
Number of Users
Cashiers
Managers
Administrators
Functional Requirements:
User Authentication:
Admins, managers, and cashiers should have unique login credentials.
Product Management:
Add, edit, and remove products.
Categorize products.
Inventory Management:
Track product quantities.
Set alerts for low stock.
Sales Processing:
Add items to the cart.
Calculate the total cost.
Receipt Generation:
Generate and print receipts for customers.
Tools:
Python and the Flask web framework
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RESTful API Based Short Video Sharing Web Application-Link-Tok
Project Domain / Category
Web Programming
In the digital age, social media platforms play an important role in connecting people, sharing
experiences, and promoting self-expression.
This project aims to develop a web-based social media platform, titled as “Link-Tok,” which will offer
its users an opportunity to share photos, videos, and stories with their friends and followers on the
website. This key functional requirement of the system will be as follow.
Functional Requirements:
Use of REST API
a. The application architecture should be based on RESTful API.
User Registration and Authentication
a. Users will be able to create accounts using their emails.
User Profiles
a. Users will be able to set /edit their profile pictures and provide a short bio.
Posting Content
a. Users will be able to upload photos and videos.
b. Add captions, tags, and location information to posts.
c. Schedule posts for future publication.
d. Edit and delete their posts.
Engagement Features
a. Users can send requests to connect with other users
b. Users can disconnect themselves from other users.
c. Users can like, comment, and share posts.
d. Explore trending and popular posts.
Stories
a. Users can create and share short stories in the form of videos.
b. View stories from followed users.
Discover and Search
a. Search for specific users, posts, or locations.
Admin Dashboard
a. Admin can see the report of registered users
b. Admin can generate the list of active and inactive users.
c. Admin can block any registered user or content.
Analytics
a. Video engagement
i. Time Viewed
ii. Likes, shares, comments
b. Video reach
i. Number of impressions
ii. Number of views
c. Video Followers
For You Videos Feature
a. On basis of user’s interest, the application will show the unwatched short videos to
audience.
Tools:
PHP and MySQL (You can choose any framework such as Laravel)
Bootstrap or any other CSS Framework
RESTful APIs Integration using JSON
React or any other supporting framework
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Skills-Hub
Project Domain / Category
Web Programming
Abstract / Introduction
Web applications are like helpful tools we use on the internet every day. They make it easy for us to
find things, use services, and buy stuff online. The Skills-Hub is a web portal that provides users a
convenient and easy way to search for electronic-related services online. The platform has an
efficient search option that enables users to look up individual skilled workers. If a user needs a
skilled person for an electronic job, they will be able to search the portal for electronic services like
“computer repair” or “mobile repair”, and the portal will find people who can do that. Once a user
finds someone suitable for the job, the portal will provide a bunch of information about the worker,
such as what they’re good at, how much they charge for their work, and even what they’ve done
before. This way, the user will be able to pick the right person for the job.
Functional Requirements:
User Panel

User can create an account and provide personal information.
User can update and manage their profile.
User can search and select a specific skilled worker.
User can view profiles and ratings of available skilled workers.
Worker Panel
Skilled workers can register and create profiles, providing details such as their skills,
certifications, work history, and availability.
Admin Panel
Admin has access to a dashboard for managing service requests and skilled workers.
Admin can add, edit, and activate/deactivate skilled worker profiles.
Tools:
HTML, CSS, JavaScript, jQuery, Bootstrap (Front-end)
MYSQL (phpMyAdmin) Database
PHP (Server-side programming)
XAMPP — Web Application Server
You are advised not to switch the tools. If you do so, you will handle the technical side yourself.
Note:
These are the basic requirements of the application. Students may add further functionalities
to make the application more useful.
Virtual University of Pakistan (VU) will not provide any kind of hardware for this project; a
student has to arrange the required hardware by himself/herself.
VU will not pay for any license of the software, the libraries /toolkits/APIs used in this project.
***************************************************************************************************************************************************************************************
Smart Stock Stealing Prevention POS for Restaurant
Project Domain / Category
Web Based Application
Abstract / Introduction
Every restaurant and food chain needs smart way to manage their sales and stock. The need of hour
is to calculate stock consumption with the sale orders on runtime. So, this smart POS system is based
on the same idea.
This smart POS system helps restaurants owners to manage their stock (Raw food items)
consumption to be used as ingredients into the cooked food they sell. System will synchronize the
stock consumption with sale screen. The more a food items will be sold the more stock related to
that food item will be minus from the stock.
There will be a complete recipe management form in the system to estimate how much ingredients
are used in preparation of one food item. This system will help restaurants owners to verify their
stock consumed and stock purchased and stop stock waste and stealing.
Functional Requirements:

Admin should maintain stock entry received from supplier using the stock entry form for the
food items to be used as ingredients in the recipe of Food menu items.
User should Make Recipe for Food, and when make a Sale, Stock should be Auto Deducted.
System should generate Table QR Code, Customer sitting in the Dine-in Area should Scans by
Phone, Choose Food & Order.
Cashier should be able to Accept/Decline the order placed by customer
Customer should be able to add New Food by Himself in the order.
Cashier should be able to add New Item to Running Order.
Real Time Order List, Close Only When Customer Completes Eating, Add New Item to an
Order, KOT Print for Only New Item.
Table Management, Area Wise Table Management., and Table Selection for Dine In, Table
Time Tracking, and Restrict table selection on ongoing table, Order without Table (For
standing customers).
System should have category wise Multi Kitchen, Kitchen Screen for Chef, Tab Supported
(1280×800), and Order Ready Notification in POS.
10.If the Internet is gone suddenly? No Worry! The POS software should still run and sync
orders data online when internet is available.
Sample Screen Shots for POS:
Order Screen:

Add Food Menu ( for tracking Stock Consumption):
Kitchen Order Status Screen:
Tools:
Use Any Web Development Technology like PHP, Java, ASP.NET, PWA etc.

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Time Table Automation System
Project Domain / Category
Web programming
Abstract / Introduction
Time Table Automation System for your educational institute is designed to streamline the process
of creating and managing class schedules, making it more efficient and error-free. With this system,
you can easily manage class timings, room allocations, and faculty assignments while ensuring that
all stakeholders have real-time access to the latest schedules.
Primary objectives of the Time Table Automation System are to automate the process of creating,
managing, and updating class schedules, thus reducing time and effort required for manual
scheduling. Also, minimize scheduling conflicts and errors in room allocations, faculty assignments,
and class timings.
Web-based platform that is accessible to administrators, faculty, and students, enabling them to
view and receive updates on class schedules.
Functional Requirements:
The system will be used by three modules, which are Administrators, Faculty, and Students Each
module is interconnected or integrated to each other. This system is very easy to understand and
user friendly. In this system user can connect any time whenever he/she wants. This system should
be secured.

User Interface: A user-friendly web-based interface that allows authorized users
(administrators, faculty, and students) to access and interact with the system.
Admin Dashboard: A centralized dashboard for administrators to set constraints, input data,
and generate schedules.
Database: A database to store information about courses, faculties, students, rooms, and
scheduling constraints.
Scheduling Algorithm: A robust scheduling algorithm that takes into account various
constraints and preferences to generate class schedules.
Notifications: An integrated notification system to inform users of any changes in schedules
or important updates.
Reporting and Analytics: Tools for generating reports and analytics to aid in decision-making
and resource optimization.
User Roles: Different levels of access and permissions for administrators, faculty, and
students.
Constraint Management: Ability to define constraints such as room availability, faculty
preferences, and student preferences.
Automated Scheduling: An intelligent algorithm to generate class schedules based on defined
constraints.
10.Real-time Updates: Immediate notification of any schedule changes or updates to all
stakeholders.
11.Conflict Resolution: Automated conflict resolution for cases where constraints cannot be met.
12.Report Generation: Customizable reports and analytics for better decision-making.
Support and Maintenance: Ongoing support and maintenance to address any issues or
updates.
Tools:
ASP.NET/C#, HTML, CSS, JavaScript, Crystal report, SQL Server,
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Tutor Finder
Project Domain / Category
Web Programming
Abstract / Introduction
The Tutor Finder application is a versatile platform, designed to assist students and parents in
locating educators nearby. This system empowers teachers to enroll in the platform via a userfriendly web interface. Teachers can input their profile details, professional background, and areas
of expertise.
For students and parents, the application offers a convenient search feature to find tutors for
specific courses or topics of interest. Its primary function revolves around gathering valuable
feedback from students and parents about the tutors. This feedback can be in the form of written
comments and ratings. Parents can make informed decisions about selecting a tutor based on this
feedback.
Additionally, the application can integrate topic-specific expertise and feedback to provide even
more tailored information. Students and teachers can also schedule tutoring sessions according to
the available time slots, making it a comprehensive solution for education seekers.
Functional Requirements:
User Registration and Authentication:

Users should be able to create accounts with their personal information.
Users should be able to log in securely.

User Profiles:

Users can create and manage their profiles, including personal details, education, and
subjects they want to teach or learn.
Users can upload a profile picture.

Search and Matching:

Users can search for tutors based on various criteria such as subject, location,
availability, price, and rating.

Tutor Listings:

Tutors can create listings that include information about the subjects they teach, their
qualifications, rates, availability, and location.

Reviews and Ratings:

Users can leave reviews and ratings for tutors.

Scheduling and Booking:

Users can schedule sessions with tutors.

Admin Panel:

Administrators should have access to an admin panel for managing users.

User Dashboard:

Provide a user-friendly dashboard where users can manage their activities,
appointments, and settings.
Tools:
HTML, CSS, JavaScript, jQuery, Bootstrap (Front-end)
MYSQL (phpMyAdmin) Database
PHP (Server-side programming)
XAMPP — Web Application Server
You are advised not to switch the tools. If you do so, you will handle the technical side yourself.
Note:
These are the basic requirements of the application. Students may add further functionalities
to make the application more useful.
Virtual University of Pakistan (VU) will not provide any kind of hardware for this project; a
student has to arrange the required hardware by himself/herself.
VU will not pay for any license of the software, the libraries /toolkits/APIs used in this project.
***************************************************************************************************************************************************************************************
Warehouse Management System
Project Domain / Category
Web Application
Abstract / Introduction
ABC is a company which is running a large-scale business across Lahore, Karachi, Rawalpindi,
Faisalabad, and Quetta in Pakistan. Its head office is in Rawalpindi. After manufacturing the finished
products, they are sent to the warehouse located in Rawalpindi. All finished goods are dispatched to
all distribution centers through the warehouse.
You are required to develop a Warehouse management system for this company. You need to
maintain records of all incoming and outgoing products. Firstly, you are required to develop a chart
of accounts (parent accounts, control accounts, and ledger accounts). Furthermore, you are required
to generate different reports that help ABC Company in decision making, such as inventory reports,
stock aging, stock value reports, and stock movement reports.
Functional Requirements:

Admin will log in to the system using their login ID and password.
Admin can create users and give rights to other users.
Admin can use the entire system to enter, update, and delete any record.
Admin can manage a chart of accounts (parent accounts, control accounts, and ledger
accounts).
Admin can generate a detailed report to view item-wise, day-wise, week-wise, or monthwise details of items coming in and out of the stock, and brand-wise details of items
coming in and out.
Only Registered users will be able to login to the system.
User can also enter, update, and delete if the admin grants them complete rights.
User can enter data into the system, such as creating vouchers and reviewing ledgers.
User can view a report of all items in the warehouse by city.
10.User can generate different reports such as inventory reports, stock aging, stock value
reports, and stock movement reports.
Tools:
Developer can develop this project in any web based tool. For example, HTML, CSS, JavaScript, PHP,
.net, MySQL etc.
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Web-based Chat bot
Project Domain / Category
Web Programming
Abstract / Introduction
A web-based Chat bot is a computer software that simulates natural human speech and interacts
with users via the internet. It answers questions from users and offers guidance or support, acting
as a virtual assistant. Customer service, e-commerce, and information retrieval are just a few of the
uses for these chat bots, which can be included in websites, messaging services, or mobile apps.
Natural language processing (NLP) and machine learning are two technologies that web-based chat
bots employ to comprehend and interpret user input. This allows for dynamic and interactive
discussions. Enhancing user experiences, streamlining communication, and automating repetitive
chores are the main objectives of a web-based Chat bot, which will eventually increase productivity
and engagement in online settings. In Chat bot, the users will type messages or use voice recognition
to communicate with the Chat bot. The interface displays the Chabot’s responses in a conversational
format, showing both the user’s messages and the Chabot’s replies. This message history provides
context for the conversation. Chat bot interface will include features for user engagement, such as
emojis, stickers, or interactive elements, to make the interaction more enjoyable and expressive. A
typing indicator will show when the chatbot is processing a response, indicating to the user that the
chat bot is active. Users will attach files, images, or other media in their messages, and the interface
should support the display and handling of these attachments. Interfaces often include quick reply
buttons or options for users to select from, simplifying the interaction process and guiding users to
specific actions or responses.
Functional Requirements:
The chat bot interface must support both text-based and voice-based input from users.
The interface should display the chat bot’s responses and user messages in a conversational
format, maintaining a message history for context.
The chat bot interface must provide features for user engagement, including emojis,
stickers, and interactive elements to enhance the user experience
A typing indicator feature is required to notify users when the chat bot is processing a
response, indicating that the chat bot is active and working on their request.
The chat bot interface should include quick reply buttons or options that allow users to
select from predefined choices, simplifying interactions and guiding users to specific actions
or responses.
Tools:

HTML, CSS, and JavaScript
MYSQL
Node.js
Natural Language Toolkit (NLTK), spaCy, or the Google Cloud Natural Language API
Web Speech API for voice recognition and synthesis

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