carbn Ink
The challenge lies in finding a way to
repurpose industrial smoke, specifically the
carbon particles and soot, into a valuable
and usable product, such as ink. This project
seeks to develop a method for capturing the
carbon-based particulate matter from
industrial smoke, purifying it to remove
harmful contaminants, and converting it
into a safe, high-quality ink that can be used
for artistic or commercial purpose
Smart Dustbin for Parks
An automated dustbin with sensors for efficient waste disposal, promoting cleanliness. It can also reward users for proper disposal, encouraging eco-friendly behavior.
Attend Guard
This project will scan students’ faces when they enter the school bus and make a list of present students. Another camera at the school entrance will check if the same students enter the school. If a student is missing, the school will be notified.
The system will also stop students from leaving before 2:00 PM. If a student needs to leave early, they must get approval from a class teacher or coordinator. The system will automatically update attendance and send alerts if a student is missing.
Sloth Robot
Our project, Sloth Robot, is an innovative, autonomous robot designed to mimic the movements of a sloth using Arduino Uno.
It utilizes sensors and motors for controlled movements, providing a unique example of blending industry and robotics.
Smart Walker
Mobility Challenges: Elderly individuals struggle with movement, increasing the risk of falls and collisions.
Limited Safety Features: Traditional walkers provide support but lack smart features for accident prevention.
Delayed Emergency Response: Users may struggle to seek help after a fall or obstacle, leading to delayed assistance.
Lack of Independence: Fear of falling reduces confidence and limits mobility.
Need for a Smart Solution: A walker with obstacle detection, fall prevention, and emergency alerts is essential to enhance safety, restore confidence, and improve the overall quality of life.
AI-Powered Navigation: Adapts to the user’s walking patterns and terrain, providing real-time guidance to prevent trips and falls.
Fall Detection & Emergency Alerts: Built-in sensors detect falls and instantly notify caregivers or emergency contacts for prompt assistance.
Continuous Health Monitoring: Tracks user movements and vital signs, alerting caregivers to any irregularities.
Automatic Emergency Response: Sends GPS-based alerts to pre-set contacts or emergency services in case of an emergency.
Reliable & Long-Lasting Battery: Ensures uninterrupted support with easy charging options.
Enhanced Safety & Independence: Empowers elderly individuals with confidence while providing peace of mind to caregivers and families.
Gesture-Controlled RC Cars for Hazardous Material Transportation in Industries
In industrial environments that handle hazardous materials, ensuring worker safety is a top priority. Our project introduces a gesture-controlled RC (remote-controlled) car to enhance both safety and efficiency in material transportation. By using hand gestures to control the car, workers can maintain a safe distance from hazardous substances such as chemicals, toxic gases, or high-temperature materials, minimizing direct exposure to potential risks.
AI-Powered fish Species Identification system for Sustainable Fishing
We have developed an AI-powered fish identification system using machine learning (ML) to promote sustainable fishing practices. Our system enables fishermen to recognize different fish species from images, helping them identify their catch and release non-target species back into the water. This reduces bycatch—the accidental capture of unintended fish species—contributing to marine conservation.
Eco Flow
Industrial Waste Treatment:
Implementing effective wastewater treatment technologies and regulations to reduce the release of pollutants from industrial sources.
Agricultural Best Practices:
Promoting sustainable agricultural practices, such as reducing fertilizer and pesticide use, and implementing water-efficient irrigation techniques.
Smart Construction Helmet
Construction site deaths often result from gas leaks, lack of helmets, unknown danger zones and unnoticed injuries. Poisoning, falls and head trauma can be prevented with safety gear, awareness and communication.
Preventing construction site deaths requires strict safety measures. Use gas detectors, Ai helmet wearing detector, Integrated danger zones detector , Accelerometer for fall detector and Buzzer to aware construction worker of the injury or fall of a construction worker.
LPG Gas Alert System
Gas leaks cause explosions and hazards in households and industries.” This system detects leaks, alerts users, and shuts off the gas supply to prevent accidents.