International Journal of Research and Development in Engineering Sciences https://www.ijrdes.com Bosubabu Sambana 2 3 (May - June) 2020 06 May-June enInternet of Things (IoT)Air Pollution MonitoringAir Quality Index (AQI)Machine LearningEnvironmental PredictionSmart Cities Air pollution has become a major environmental concern affecting human health and climate worldwide To address this issue this paper proposes an Air Pollution Monitoring and Prediction System based on the Internet of Things IoT The system employs smart sensors to measure key air quality parameters such as CO CO NO SO and particulate matter PM25 and PM10 in real time The collected data is transmitted to a cloud platform via wireless communication modules for storage visualization and analysis Machine learning algorithms are then applied to predict future pollution levels based on historical and environmental data trends The system provides realtime alerts and air quality index AQI updates through web and mobile interfaces enabling authorities and citizens to take timely actions By integrating IoT with predictive analytics the proposed framework offers a scalable lowcost and efficient solution for continuous environmental monitoring and sustainable urban management Copyright (c) 2026 International Journal of Research and Development in Engineering Sciences. All rights reserved. 2020 All Rights Reserved