Inspiration
Rivers in India are heavily polluted due to floating waste, which affects ecosystems, human health, and water quality. Observing these problems inspired me to build an AI-powered solution that can assist communities in cleaning rivers efficiently and safely.
What it does
This project is an AI-powered river cleaning assistant that detects floating waste using camera input and AI algorithms. The system guides cleaning operations, helping reduce manual effort, improve safety, and ensure cleaner water bodies across communities.
How we built it
The system uses a Raspberry Pi connected to a camera module to capture real-time images of the river surface. These images are processed using AI models to identify waste materials. Based on the AI insights, the system provides guidance for navigation and waste collection. The hardware is controlled using embedded programming, while the software analyzes visual input and outputs actionable instructions.
Use of AI
AI is used to classify and detect waste in real-time images. This allows the system to understand complex river scenes and prioritize areas for cleaning. It also helps in generating summaries and insights to support efficient decision-making and improve operational accuracy.
Challenges we faced
- Limited computational resources on embedded hardware
- Detecting waste under varying lighting and water conditions
- Integrating AI analysis with real-time hardware control
- Ensuring system reliability in unpredictable outdoor environments
What we learned
Through this project, I learned how to integrate AI with real-world hardware, gain experience with computer vision, IoT, and embedded systems, and develop impactful solutions for environmental challenges.
Future scope
The system can be extended to full autonomy with GPS navigation, improved waste detection accuracy, and deployment at larger scales to support smart city initiatives and environmental sustainability programs across India.
Built With
- ai-/-ml
- camera-module
- cloud
- computer-vision
- embedded-systems
- google-gemini-api
- iot
- python
- raspberry-pi-4
- storage
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