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.
MedicoBot
Our Medico Bot will automate the patient transfer process between the wards.
By integrating with the hospital’s existing systems, the bot will allow healthcare staff to initiate, track and confirm patient transfer in real time.
The automation will streamline the process, reduce human error, enhance operational efficiency and ensure safe & timely transfers between wards.
Solar-Powered Vehicle Cooling System
This solar-powered vehicle cooling system helps reduce heat buildup inside a parked car using renewable energy. A DHT11 sensor detects temperature and humidity, and when the temperature exceeds a set limit, an Arduino-controlled fan automatically turns on. The system runs on a solar panel, making it eco-friendly and fuel-efficient. An LCD display shows real-time temperature and humidity for monitoring.
Quick Evacuation System
Our solution the Quick Evacuation System consists of Detection , Action and Monitoring:
Detection:Our solution consists of a variety of sensors such as flame , gas , temperature and Humidity sensors
Action: As soon as one of our sensors detect a threat and identify it. Our Evacuation will take action by sounding alarms, cutting off electricity and light up the way to the nearest safe exit. In case if one of the exits are not safe the
leds or lights will light up red this will also apply for endangered areas.
Monitoring: Our systems will continuously monitor everything which can be viewed in a central control room to help in an efficient rescue operation
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.
Collect the waste from water
The Seabin works by being placed in the water, where it uses a
pump to suck in water and debris, which is then filtered out, leaving cleaner water behind.
This collected trash is stored in a container, which can be regularly emptied. The goal is to
reduce pollution in coastal areas and help protect marine life, as well as raise awareness
about ocean pollution.
Carbon Absorbing Drone
To detect and reduce the carbon dioxide in the air, we propose building a carbon-absorbing drone.
This innovative solution will utilize advanced robotics to monitor and capture CO2 emissions in real-
time, significantly mitigating their impact on the environment. The drone’s precision and efficiency
will help create a healthier planet and a sustainable future.
Drones have become vital in multiple fields, including agriculture for crop monitoring, disaster
management for surveys and aid delivery, entertainment with aerial shows, surveillance for security,
and delivery services. Who can forget the spectacular drone show at Ayodhya during this Diwali!
Recognizing their importance, integrating carbon-absorbing technology into drones can help reduce
CO2 levels.
The project involves creating a network of small, autonomous drones designed specifically to
capture and sequester CO2 from the atmosphere. These drones would use a specialized CO2-
absorbing material (such as metal-organic frameworks or zeolite) to trap CO2. Once full, each drone
would return to a central base where the CO2 can be stored or processed.
Pothole & Filler
The Pothole Filler Project is an innovative system that uses an Bot and an ultrasonic sensor to detect potholes on roads. Once the potholes are identified, the system activates a servo motor to control a dispenser that releases filler material into the pothole. Additionally, the system sends location alerts to authorities for further follow-up. A working prototype of this project can be created using cardboard, simulating the detection and filling mechanism effectively.
Reminder-Robo
Reminder-Robo keeps students on track by using movement and visual cues, making reminders more engaging and harder to ignore than traditional apps.
– Since noisy environments disrupt voice recognition; we implemented entering the tasks
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.