Inspiration
River pollution is a serious problem in many parts of the world. Manual river cleaning is dangerous, time-consuming, and inefficient. Seeing polluted rivers in our surroundings inspired us to build a smart and affordable solution that can assist in cleaning rivers using AI and automation.
What it does
This project is an AI-powered river cleaning assistant that detects floating waste in rivers and helps in cleaning operations. Using a camera and Google Gemini AI, the system identifies waste objects and assists in decision-making for navigation and collection. The goal is to reduce human risk and improve cleaning efficiency.
How we built it
The system is built using a Raspberry Pi as the main controller, connected to a camera module for live visual input. Images and data are processed using the Google Gemini API to analyze waste presence and provide intelligent insights. Motor control and navigation are handled through embedded programming, and the system can be remotely monitored.
Use of Google Gemini
Google Gemini is used to analyze camera images and identify waste materials in the river. It helps in understanding the scene, classifying objects, and assisting with intelligent decisions such as where cleaning is required. Gemini also helps summarize data and improve the system’s responsiveness.
Challenges we faced
- Limited hardware resources on embedded systems
- Integrating AI with real-time image input
- Ensuring reliable detection in varying lighting and water conditions
What we learned
Through this project, we learned how to integrate AI models like Google Gemini with real-world hardware systems. We gained experience in IoT, computer vision concepts, and building impactful solutions for environmental problems.
Future scope
In the future, this system can be made fully autonomous, improved with better object detection accuracy, GPS tracking, and deployed at a larger scale to support smart city and environmental initiatives.
Built With
- camera-module
- computer
- embedded-systems
- google-gemini-api
- iot
- python
- raspberry-pi
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