Aquabot
A boat made of lightweight materials such as PVC pipes and foam board will be powered by dual-shaft DC motors. It will be controlled remotely using an Arduino Uno and a motor driver. The boat will move on water using propellers and collect floating trash using a non-slip mat attached to its structure.
Robo Fish
A robotic fish that swims in the ocean, detects pollution, collects small trash, and checks water conditions. It will use sensors and AI to analyze the environment and send alerts when needed.
Track Guard
TrackGuard – Smart Railway Safety System
TrackGuard is a smart IoT and Machine Learning-based robotic system designed to enhance railway safety and prevent accidents. The robot is equipped with metallic conductivity wings that detect even the tiniest hairline cracks on either side of the track. When conductivity breaks, the system instantly identifies a crack and sends an alert.
A vibration sensor monitors abnormal track movement. Using a camera module with ML-based image classification, the system detects whether a train is approaching. If a train is detected, the wings automatically compact to allow safe passage. If no train is detected, it raises a maintenance alert due to abnormal vibration.
To prevent collisions, a proximity sensor detects large obstacles on the track, both day and night. The robot uses ML-trained pole number recognition to accurately locate and report issues. All sensor data is collected by Quarky, sent to Firebase via PictoBlox IoT, and accessed globally through a MIT App Inventor mobile app.
In extreme cases, TrackGuard can automatically turn railway signals red at the problem location to avoid accidents. This innovative solution offers a reliable, scalable approach to railway infrastructure monitoring—combining automation, real-time data, and machine intelligence to save lives and improve efficiency.
AQUA BUDDY
Our project is a Smart Fish Tank Monitoring and Automation System designed to ensure a healthy aquatic environment using real-time sensing and automation. It helps monitor water parameters like temperature, pH, turbidity, and water level, ensuring fish stay in a clean and safe habitat. The system automatically manages water changes and food supply without human intervention, making fish care easy and efficient. By using smart alerts and mobile app connectivity through Firebase, users are instantly informed of any critical changes in water conditions. The project promotes awareness of water quality issues and supports the SDG goal “Life Below Water.” Many aquarium fish die due to poor water quality, and our system solves this by maintaining balance through automation. It’s ideal for schools, homes, and educational purposes, encouraging responsibility toward aquatic life. The project combines technology with environmental awareness, demonstrating how IoT and automation can protect marine life starting from a small tank.
ECOPARK
• ECOPARK transforms mechanical energy from park activities like cycling and spinning into electricity, powering LEDs to demonstrate real-time energy conversion.
• ECOPARK transforms a normal park into a sustainable energy hub.
Human Pose Estimation
Designed to automate elbow/knee joint angle measurement using AI and real-time feedback.
• System solves this problem by using Human Pose Estimation (HPE) technology with Artificial Intelligence to measure elbow/knee angles automatically.
CrashGuard
CrashGuard is an AI-powered vehicle safety system designed to prevent accidents caused by drowsy driving.
• It uses a machine learning model trained in Pictoblox to monitor the driver’s eye movements using a webcam.
FurEver Buddy
FurEver Buddy is a project to help working professionals to take care of their fur member of family in the field of feeling of separation, aggression and sadness.
EyeGPT
An app that uses advanced image analysis to diagnose strabismus and its specific type with high accuracy.
It offers personalized solutions, including eye exercises and fun games, to improve eye coordination.
With a user-friendly interface, it empowers users to actively manage their eye health and work towards better vision. With its easy-to-use interface, the app allows users to take charge of their eye health and follow their treatment plan at their own pace. This comprehensive approach not only aids in improving vision but also helps users maintain long-term progress, boosting both their confidence and overall well-being.
Automatic Rice Stubble Collector
The Automatic Rice Stubble Collector is a device designed to help farmers efficiently gather rice stubble and place it in a designated corner for easy collection and sale to biofuel companies. This innovation aims to reduce manual labor and promote sustainable agricultural waste management.