With The growing demand for effective waste management solutions has prompted the development of intelligent systems that promote sustainability and resource efficiency. This project demonstrates an IoT-enabled intelligent waste monitoring system that automatically separates plastic and non-plastic waste. The technology uses a camera and machine learning algorithms to classify garbage in real time. Users are encouraged to engage through a reward system in which they can enter their information using a keypad to earn incentives based on the type and quantity of waste disposed of. The collected data is saved on an IoT server, providing significant insights into waste management efficiency. This technology intends to improve trash segregation efficiency, promote recycling, and help to clean up the environment. The suggested approach illustrates the power of IoT, machine learning, and embedded technologies in creating smarter, more sustainable urban environments.