Python
An Edge-Based Digital Twin Framework for Connected and Autonomous Vehicles: Design and Evaluation
Aim:
The aim of this project is to design and implement an edge-based digital twin system for monitoring and controlling the performance of a connected vehicle. Using sensors like the LM35 for engine temperature, IR sensors for speed measurement, and push buttons for speed control, the system optimizes real-time vehicle operations. It integrates the vehicle's real-time data into a digital twin for simulation, performance evaluation, and diagnostics. This approach enhances vehicle efficiency, safety, and real-time decision-making through continuous monitoring and control.
CNN and Arduino based Stress Level Detection System
Design and Development of Human Following Autonomous Airport Baggage Transportation System
Design and Implementation of a Remote Patient Monitoring System Based on IoT Using Wireless Sensor Networks for Real-Time Health Data Recording.
Design and Implementation of IoT-based Programmable Assistive Intelligent Adaptive Pillbox
Design and Implementation of Microcontroller based Smart Battery Management System
Aim:
The mainstay of the project is to design and develop a Smart Battery Management System. The system seeks to enhance safety and efficiency by providing immediate responses to detected anomalies and ensuring optimal battery performance through cloud-based data updates and integrated control mechanisms.
Design of a Search and Rescue Robot Based on Fire hazards
Aim:
The Mainstay of the project is to develop an autonomous firefighting robot that integrates AI for person detection, real-time video streaming, and obstacle avoidance. The system enhances firefighter safety and efficiency by providing autonomous navigation and fire suppression in hazardous environments.
Hydroponic Power plant Monitoring Robot With Obstacles Detection
Aim:
The aim of this project is to develop an autonomous robot for monitoring hydroponic power plants using line-following navigation and environmental sensors. The robot detects obstacles, identifies objects with an ESP32-CAM, and updates data to Firebase for real-time monitoring. It provides an efficient and sustainable solution for automating hydroponic farming operations
i-AVR: IoT-Based Ambulatory Vitals Monitoring and Recommender System
Integrated Digital Twins System for Oil Temperature Prediction of Power Transformer Based on Internet of Things
Lora Based An Unified Metering System Deployed for Water and Energy Monitoring in Smart City
Mo-SSS: A Motorcycle Smart Security System Using Raspberry Pi Based on the Internet of Things
Aim:
The Mainstay of the project is to develop a smart motorcycle security system using Raspberry Pi and IoT, ensuring enhanced theft prevention, real-time alerts, and accident detection. The system integrates advanced features like location tracking, photo capture, and power management for efficient and secure vehicle operation.