IOT BASED SMART WASTE MANAGEMENT SYSTEM USING ML

This project enhances waste monitoring by integrating IoT with Machine Learning. Sensors collect real-time waste level data, which is processed by an SBC and uploaded to a cloud platform. Machine Learning algorithms analyze historical data to predict when bins will be filled, helping authorities plan optimized collection schedules. This reduces fuel consumption and operational costs. The project uses an SBC, ultrasonic sensor, ML algorithms, cloud platform, and embedded programming, making it suitable for intelligent smart city waste management systems.