Sahil Wagh1 , Anchal D. Tapadiya2 , Mrunal Vivek Saner3 , Pravin G. Gawande4

With urbanization on the rise, traditional waste management systems face unprecedented challenges. This research introduces a cutting-edge Smart Waste Management System that seamlessly integrates the Internet of Things (IoT) and Machine Learning (ML) to address these challenges and enhance overall efficiency. The system harnesses the power of IoT_x0002_enabled dustbins equipped with sensors, enabling the realtime collection and transmission of critical data to a centralized server. A sophisticated Machine Learning model, predicts dustbin fill levels based on temporal factors such as time and day, along with geographical location. This predictive modeling ensures accurate anticipation of fill levels, laying the groundwork for optimized waste collection routes. The system dynamically adapts routes based on both predicted fill levels and real-time vehicle locations, incorporating geospatial analysis for enhanced efficiency. To empower municipal authorities, a user-friendly web dashboard has been developed. This dashboard provides real-time insights into dustbin fill levels, route optimization, and other critical data, facilitating prompt decision-making. The integration of ML algorithms and IoT technologies has demonstrated significant improvements in waste management efficiency, contributing to a more sustainable urban development paradigm. Additionally, smart dustbins integrate Infrared (IR) sensors and servo motors to enhance functionality. The IR sensors are strategically positioned to detect hand motion, enabling hands-free operation and promoting hygiene. When a user approaches, the lid opens automatically, providing a convenient and touchless waste disposal experience. Furthermore, a servo motor facilitates precise and controlled lid movement, ensuring reliable and efficient operation. The envisioned system paves the way for smarter, cleaner cities by addressing the complexities of waste management in the context of rapid urbanization, ultimately fostering urban sustainability.

https://doi.org/10.58357/jedcs.2024.v3.i2.2