Municipal waste collection is still largely schedule-driven rather than demand-driven, causing overflowing bins, wasted trips and higher fuel use. This paper presents an integrated smart waste management platform that combines IoT fill-level sensing (ESP32 with an ultrasonic sensor), threshold-based collection scheduling, dynamic route optimization and a citizen reporting portal. A review of twelve published studies shows that existing systems monitor bins or plan routes once per day, while citizen complaints, scheduling and truck management remain separate. A software prototype has been implemented: a FastAPI backend with 46 REST endpoints, a MySQL database, a React administrator panel and an Expo (React Native) client for citizens and drivers, verified with five end-to-end scenarios and 23 automated tests. The sensing, scheduling and routing modules are specified as a roadmap and are not claimed as completed or fieldvalidated; target metrics for a future field trial are defined.

Nair Akshay Anilkumar, Dr.Manoj Singh, "Smart Waste Management and Collection Optimization System Using IoT with Citizen Reporting and Dynamic Route Planning" International Journal of Scientific Research and Engineering Development, V9(5): Page(1127-1130) September - October 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.