This project introduces a simplified AI system that detects and classifies different recyclable materials using a Raspberry Pi camera and a lightweight TensorFlow Lite model.
The system identifies common materials—paper, plastic, and metal—and activates a corresponding LED to visually indicate the detected category while continuously displaying the live camera feed and the recognized material on screen.
- Green LED → Paper
- Yellow LED → Plastic
- Red LED → Metal
Students train their own AI model using Teachable Machine by capturing real- world images of waste materials and exporting it in TensorFlow Lite format for edge inference.
The project emphasizes sustainability awareness, AI implementation, and hands-on experimentation without requiring any robotic movement or complex wiring.
