Waste Management Detection

• Tech Stack:
• Language: Python
• Packages: Pytorch, Yolov5, CI-CD, AWS
• Github URL: Project Link

The Waste Detection Project leverages YOLOv5, a state-of-the-art object detection model, to identify and classify waste items in real-time, enhancing waste management efficiency. By training the model on a diverse dataset of images containing various types of waste—such as plastic, organic, and recyclable materials—the system accurately detects and categorizes debris in complex environments like streets, landfills, or recycling facilities. The project integrates YOLOv5’s fast inference speed and high precision to provide actionable insights, enabling automated sorting, monitoring waste distribution, and supporting environmental sustainability efforts. This solution offers a scalable approach for municipalities and organizations to optimize waste collection and reduce ecological impact.