Recycling as a Service: IoT Enabled Smart Waste Management System with Machine Learning

This paper introduces Smart Waste Management (SWM), a system integrating IoT technology and ML algorithms to enhance waste management efficiency. By leveraging real-time data from IoT sensors in waste bins, SWM dynamically optimizes collection routes and schedules. ML algorithms analyze data on fill levels and environmental factors to predict waste generation patterns, enabling informed decision-making. This adaptive approach minimizes fuel consumption, reduces costs, and lowers carbon emissions. SWM also offers actionable insights through customizable dashboards, empowering authorities to implement proactive measures such as predictive maintenance and targeted public awareness campaigns. Overall, the integration of IoT and ML technologies presents a transformative solution to optimize resource allocation, promote sustainability, and foster a cleaner urban environment.