AI powered smart waste management system
Sujal Wadhankar
Urban growth and population surges strain traditional waste management, causing bin overflows, spills, odors, pollution, and health risks from manual checks and fixed schedules. This study presents a camera-free AI-IoT system for real-time garbage and spill detection using edge sensors: ultrasonic/IR/weight/gas in smart bins and moisture/conductivity units in high-risk areas like hallways, restrooms, and wards—all geo-tagged via GPS. Data streams via Wi-Fi/LoRaWAN/GSM to a cloud platform, where ML identifies anomalies, predicts overflows, optimizes routes, and alerts nearby staff. An admin dashboard enables live monitoring, task management, analytics, and predictive maintenance, delivering a scalable solution for cities, campuses, hospitals, and transit hubs that cuts costs, boosts hygiene, reduces labor, preserves privacy, and supports sustainable urban environments.