AI And IOT Based Smart Waste Management System
Syed Khaja Ahmeduddin Zakir, Huda saleh AL-Busaidi, Ameera Sulaiman Al Naabi · International Journal for Research Trends and Innovation · 2025
The rapid growth of urban populations has placed significant pressure on traditional waste management systems, leading to inefficiencies such as premature waste collection, overflowing bins, and environmental hazards.This paper presents a smart waste management system leveraging Internet of Things (IoT) and Artificial Intelligence (AI) technologies to optimize waste collection.The system integrates ultrasonic sensors for real-time waste level monitoring, load cells for weight measurement, and gas sensors (MQ-2) for hazardous gas detection.Data from these sensors are transmitted via Wi-Fi to cloud platforms (ThingSpeak and Blynk) for remote monitoring and decision-making.An AI model hosted on a FastAPI server analyzes the data to predict optimal collection times, reducing unnecessary pickups.Experimental results demonstrate the system's reliability in real-time monitoring, with accurate sensor measurements and timely notifications.The proposed solution enhances operational efficiency, reduces costs, and supports sustainable urban development.