In a world increasingly focused on sustainability and efficient waste management, the Trashcan Full Detection project presents an innovative AI-based solution. This application utilizes live camera feeds to determine the fullness of trashcans, enabling timely waste collection and reducing overflow incidents. By employing a tech stack that includes Python, OpenCV, and Deep Learning, the project aims to optimize waste management processes. The integration of computer vision techniques allows for accurate real-time detection, while deep learning algorithms enhance the application’s ability to analyze visual data effectively.