Waste management in now a days is one of the major concern as urbanization increased rapidly. This project proposes an automated waste monitoring system that integrates IoT sensors, Machine Learning (ML) and robotic automation. Smart waste bins equipped with IoT sensors track fill levels in real time, optimizing collection schedules to cut costs and lower carbon emissions. Automated waste sorting is enhanced through robotic systems that use deep learning techniques, such as Convolutional Neural Networks (CNNs), for precise image recognition. This improves recycling efficiency and minimizes landfill waste. The system includes a user-friendly analytics dashboard for monitoring performance and a notification module that alerts authorities for timely waste collection. By integrating advanced technology, this solution supports sustainable waste management and contributes to global environmental conservation efforts.