This project develops an intelligent waste management system that combines IoT sensors, computer vision, and artificial intelligence to automatically detect, classify, and manage waste disposal. The system uses a Raspberry Pi equipped with ultrasonic sensors, light detection, LED indicators, and YOLOv11 neural network to create a comprehensive smart waste classification solution. The system features motion detection, automatic lighting in low-light conditions, real-time waste categorization with visual feedback through an OLED display, and efficient resource management. Students will learn to integrate multiple IoT components while building practical AI applications that address real-world environmental challenges.

Documentation

Model: https://drive.google.com/drive/folders/1PeAkjdIXuVNm57Dgc-LKDx1i1MBhSlhE?usp=drive_link