👉 The applicants' project focuses on developing an AI-driven platform designed to optimize urban waste management in densely populated cities. This platform uses machine learning algorithms to predict waste generation patterns based on historical data, weather conditions, and local events. By integrating IoT sensors in waste bins to monitor fill levels in real-time, the system optimizes collection routes and schedules, reducing operational costs and environmental impact. The project also includes a user-friendly interface for city planners and residents, enabling real-time feedback and engagement to further improve waste management efficiency.
