HARDWARE IMPLEMENTATION OF SHUNT ACTIVE POWER FILTER
The project “Hardware Implementation of Shunt Active Power Filter” aims to design and develop a hardware system for mitigating power quality issues in electrical systems. Shunt active power filters (SAPFs) are an effective solution for reducing harmonics, improving power factor, and mitigating voltage fluctuations. The proposed project will involve the design and implementation of control algorithms on a microcontroller unit, along with the selection and integration of necessary power electronics components for real-time compensation. The system will be tested and evaluated in laboratory conditions to assess its effectiveness in improving power quality parameters. This project will provide valuable insights into the practical implementation of SAPFs, contributing to the advancement of power quality enhancement techniques in electrical engineering applications.
SOLAR INDUCTION COOKER
The project “Solar Induction Cooker” aims to develop a sustainable cooking solution by integrating solar energy with an induction cooker. This project involves designing and constructing an induction cooker that operates using solar power as its primary energy source. The system will comprise photovoltaic panels to capture solar energy, an inverter to convert the captured energy into usable electrical power, and an induction heating element for cooking. The project will focus on optimizing the efficiency of the induction cooker while ensuring its compatibility with varying solar conditions. By harnessing renewable energy for cooking, this project aims to promote eco-friendly cooking practices and reduce dependence on traditional energy sources. Additionally, it offers an innovative solution for communities with limited access to electricity, contributing to sustainable development goals.
DESIGN OF IOT BASED SMART HOME HEATING
SYSTEM
The project “Design of IoT-based Smart Home Heating System” aims to create an intelligent heating solution for residential spaces by leveraging the Internet of Things (IoT) technology. This system involves the integration of sensors, actuators, and a microcontroller unit to monitor and regulate the indoor temperature of a home remotely. The sensors will gather real-time data on temperature, humidity, and occupancy levels within the house, while the actuators will control heating devices such as electric heaters or HVAC systems. A central IoT hub will process the sensor data and enable users to remotely adjust the heating settings via a smartphone application or a web interface. Machine learning algorithms can be incorporated to predict heating patterns and optimize energy usage based on user preferences and weather forecasts. This project aims to enhance comfort, energy efficiency, and convenience for homeowners while showcasing the potential of IoT technology in home automation applications.
DRONE TECHNOLOGY FOR PESTICIDE SPRAYING
The project “Drone Technology for Pesticide Spraying” focuses on developing an efficient and precise solution for agricultural pesticide application using drones. This project involves designing and implementing a drone equipped with pesticide spraying mechanisms, including tanks, pumps, and spray nozzles. The drone will be integrated with GPS and remote sensing technology to accurately navigate and identify crop areas requiring treatment, optimizing pesticide usage and minimizing environmental impact. Additionally, the project will include the development of a user-friendly interface to plan, monitor, and control the drone’s spraying operations remotely. By leveraging drone technology, this project aims to revolutionize traditional pesticide application methods, offering farmers a cost-effective, time-saving, and environmentally friendly solution for crop protection and management.
IMPLEMENTATION OF LMS ALGORITHM ON FPGA
The project “Implementation of LMS Algorithm on FPGA” aims to develop a hardware-accelerated solution for implementing the Least Mean Squares (LMS) algorithm using Field-Programmable Gate Arrays (FPGAs). This project involves designing and optimizing digital signal processing (DSP) algorithms for adaptive filtering applications such as noise cancellation, channel equalization, and system identification. The LMS algorithm will be adapted and optimized for FPGA implementation to achieve real-time processing capabilities and low power consumption. The project will focus on efficient resource utilization, high-speed data processing, and scalability to accommodate various filter lengths and input data rates. By leveraging FPGA technology, this project aims to provide a high-performance and flexible platform for implementing adaptive filtering algorithms in embedded systems, communication systems, and other signal processing applications.
ELECTRIC BIKE WITH REGENERATIVE BREAKING AND IOT FEATURES
The project “Electric Bike with Regenerative Braking and IoT Features” aims to create a sustainable and smart transportation solution by integrating regenerative braking technology and Internet of Things (IoT) features into an electric bike. This project involves designing and building an electric bike equipped with regenerative braking systems, which capture and store kinetic energy during braking, then convert it into electrical energy to recharge the bike’s battery. Additionally, IoT sensors and connectivity will be incorporated to enable real-time monitoring of bike performance, location tracking, theft prevention, and remote control functionalities via a smartphone application or web interface. The project will focus on optimizing energy efficiency, enhancing user experience, and promoting eco-friendly transportation alternatives. By combining regenerative braking and IoT technologies, this project aims to offer a sustainable and intelligent electric bike solution for urban commuters and eco-conscious individuals.
3D PRINTER BASED ON FUSED DEPOSITION MODELLING
WITH DUAL EXTRUSION
The project “3D Printer Based on Fused Deposition Modelling with Dual Extrusion” focuses on designing and constructing a 3D printer that utilizes fused deposition modeling (FDM) technology with dual extrusion capabilities. This involves creating a printer with two extruders that can simultaneously deposit two different materials or colors to produce multi-material or multi-colored prints. The project will include designing the printer’s mechanical structure, selecting appropriate extrusion components, and integrating control electronics and software for precise coordination of the extruders. Additionally, the project may explore advanced features such as soluble support material for complex prints and automated nozzle cleaning mechanisms. By implementing dual extrusion capabilities, this project aims to expand the functionality and versatility of FDM 3D printing technology, allowing users to create more complex and intricate objects with varying material properties and colors.
IOT ENABLED SMART DAIRY FARM MANAGEMENT SYSTEM
The project “IoT-enabled Smart Dairy Farm Management System” aims to revolutionize dairy farming practices by integrating Internet of Things (IoT) technology to monitor, manage, and optimize various aspects of dairy farm operations. This system involves deploying a network of IoT sensors and devices throughout the farm to collect real-time data on parameters such as milk production, animal health, environmental conditions (temperature, humidity, etc.), feed consumption, and equipment status. This data is then transmitted to a centralized platform, where advanced analytics and machine learning algorithms analyze the data to provide insights and recommendations for improving efficiency, productivity, and animal welfare. The system may also include features such as automated feeding systems, remote monitoring and control of equipment, predictive maintenance, and alert notifications for abnormal conditions or emergencies. By leveraging IoT technology, this project aims to empower dairy farmers with actionable insights and tools to optimize their operations, increase profitability, and ensure sustainable and ethical farming practices.
‘ENERGY MANAGEMENT AND WIRELESS CHARGING FOR
EVS
The project “Energy Management and Wireless Charging for Electric Vehicles (EVs)” focuses on developing a comprehensive solution to optimize energy usage and charging convenience for electric vehicles. This project involves designing and implementing an energy management system that intelligently controls the charging process of EVs based on factors such as grid demand, electricity rates, and vehicle usage patterns. Additionally, the project will incorporate wireless charging technology to enable seamless and efficient charging without the need for physical connections between the vehicle and the charging station. The system will utilize wireless communication protocols to facilitate communication between the charging infrastructure, the vehicle, and the energy management system, allowing for automatic and dynamic adjustment of charging parameters. By integrating energy management and wireless charging capabilities, this project aims to enhance the usability, efficiency, and sustainability of electric vehicles, promoting their widespread adoption as a clean and viable transportation solution.
IOT BASED INTELLIGENT SYSTEM FOR GREEN HOUSE
ENVIRONMENT MONITORING AND CONTROLLING SYSTEM
The project “IoT-Based Intelligent System for Greenhouse Environment Monitoring and Controlling” aims to develop a sophisticated solution for monitoring and controlling the environmental conditions within a greenhouse to optimize plant growth and health. This project involves deploying a network of IoT sensors throughout the greenhouse to collect real-time data on parameters such as temperature, humidity, soil moisture, light intensity, and CO2 levels. This data is then transmitted to a centralized control system, which utilizes advanced analytics and machine learning algorithms to analyze the data and make informed decisions regarding the control of environmental conditions. The system can automatically adjust parameters such as temperature, humidity, and irrigation based on predefined thresholds and plant requirements. Additionally, the system may include features such as remote monitoring and control via a smartphone application or web interface, alert notifications for abnormal conditions, and historical data analysis for optimization and planning. By leveraging IoT technology, this project aims to enhance the productivity, efficiency, and sustainability of greenhouse farming practices, leading to higher yields, reduced resource consumption, and improved crop quality.Top of Form