Clyde te Smart Lamp
Clyde is a Wellbeing Smart Lamp Created by me.
It can Change Colors, Say Good Morning and we can control Brightness.
This Code also can change different color Brightness
The code changes the colors in the Quarky 7×5 LEDs. This is very helpful if the user want to change color his/her like.
The code wishes the user good morning/afternoon/night.
The Code gives us Recommendation about Brightness (As Per in Quarky).
Posture Reminder Chair Pad System
Prolonged sitting in an incorrect posture can cause back pain, spinal discomfort, and posture-related health issues. To solve this problem, we developed a smart chair pad that monitors both sitting balance and back posture in real time. The system uses four FSR pressure sensors placed under the seat cushion to measure weight distribution on the left and right sides. Two ultrasonic sensors are mounted on the chair back to detect slouching and improper back alignment. All sensors are connected to an Arduino UNO for continuous monitoring and analysis. If the load difference exceeds 5 kg for more than 5 minutes or poor back posture is detected, a buzzer alert is activated. A web-based interface displays live posture status, sensor values, and warning messages. This system provides a non-intrusive and intelligent posture correction solution for office and study environments.
Astro Shield Relay Bot
Astronauts face extreme heat, harmful radiation, and communication loss during spacewalks due to harsh lunar conditions and obstacles like craters. These challenges make long-distance exploration risky and physically demanding.
To solve this, we developed the Astro Shield Relay Bot, an AI-powered follow-me robot that protects astronauts using a solar-powered forward shade and ensures continuous communication through a mobile relay system, enabling safer and more efficient space exploration.
DyslexiBot
DyslexiBot is an assistive learning system designed to support individuals with Dyslexia. It helps users read and understand text more comfortably by reducing stress and improving engagement.
Power Plus
Compact, portable emergency power system
Designed for essential low-power applications
Provides reliable power during outages
Efficient, stable, and easy to use
Suitable for multiple real-world situations
Ai Pothole Surveillance Drone
This project aims to eradicate the world of potholes as it is a very important problem that is very often ignored. Using an Ai enabled drone like ours we can detect and find the location of pothole with a lot more data very efficiently compared to manual road inspection. For our drone we have implemented many things like ML, Drone Locomotion, Geotagging and many more features to enhance our project
Digital twin based AI integrated smart glass for visually impaired people
Our project focuses on developing Digital Twin Smart Glasses to assist visually impaired individuals using advanced AI technology. The system uses real-time object detection powered by the YOLO (You Only Look Once) algorithm to identify objects like chairs, bottles, and mobile phones in the user’s surroundings. It also provides spatial awareness, informing the user whether objects are on the left, right, or in front. A distance measurement system calculates how far objects are and gives obstacle warnings when something is too close, helping prevent accidents. Information is delivered through a hands-free audio feedback system using Bluetooth earphones. The glasses can also detect humans nearby, improving safety and social interaction. An upgraded feature includes video assistance , allowing users to connect with a remote volunteer for real-time guidance. Overall, this project combines AI, computer vision, and IoT to enhance independence and safety for blind individuals.
ECHOHANDS
EchoHands is a high-performance, wearable assistive technology designed to bridge the communication gap between the Deaf and Hard of Hearing (DHH) community and the hearing world. By integrating a network of industrial-grade flex sensors and 6-axis motion tracking, the glove captures the complex kinetics of sign language and translates them into real-time spoken word and text. Unlike basic “fingerspelling” tools, EchoHands utilizes advanced Sign-to-Sentence logic, allowing for the recognition of fluid, dynamic gestures that represent complete thoughts and intentions, providing the user with a natural and autonomous voice.
The system is powered by Edge-AI architecture, utilizing the high-speed processing of a Raspberry Pi 5 and specialized AI accelerators to handle complex machine learning models entirely on-device. This eliminates the need for a constant internet connection or a tethered smartphone, ensuring total privacy and reliability in any environment—from busy urban centers to remote areas with limited connectivity. By combining professional-grade hardware with an accessible design, EchoHands transforms a functional prototype into a sophisticated, standalone communication partner that restores independence and social connection to its users.
Smart street light project
This project demonstrates a Smart Street Light system that automatically controls the operation of street lights using an LDR (Light Dependent Resistor). The system senses the intensity of ambient light and switches the street light ON during low-light conditions (night) and OFF during high-light conditions (day).
The circuit consists of basic electronic components such as an LDR, LED (used to represent the street light), and a control mechanism. This automation helps in conserving energy, reducing electricity wastage, and minimizing the need for manual operation.
Overall, the project provides an efficient and cost-effective solution for modern street lighting systems.
Code4care – Portable Medical Data Logger
Code4Care is a portable medical data recording device designed to improve accuracy and reliability in healthcare data management. In many real-world situations such as medical camps, home visits, and rural healthcare services, patient information is still recorded manually, which can lead to errors, unclear handwriting, and loss of records.
This project provides a simple and effective solution by enabling healthcare workers to digitally enter and store patient details such as ID, blood pressure, and heart rate using a keypad interface. The data is clearly displayed on a 16×2 LCD and stored within the system for easy retrieval.
Built using Arduino Nano, the device is compact, affordable, and works without internet connectivity, making it suitable for doorstep healthcare services. Code4Care reduces human errors, improves data clarity, and supports better medical decision-making, contributing to accessible and reliable healthcare for all.