IoT BASED AIR POLLUTION DETECTION AND PREDICTION SYSTEM

Air pollution poses a significant threat to the environment and public health, highlighting the need for effective monitoring systems. This paper introduces an IoT-based air pollution detection and monitoring system built using Arduino. The system incorporates sensors such as MQ135 to measure key pollutants, including carbon dioxide (CO₂), carbon monoxide (CO), and particulate matter. Arduino processes the collected data and transmits it to a cloud platform via Wi-Fi or GSM modules, enabling real-time monitoring and remote access through web or mobile applications .The system also generates alerts when pollutant levels surpass predefined safety thresholds, promoting timely interventions. Its low-cost and modular design ensure scalability and adaptability for various applications, including urban, industrial, and residential environments. The proposed solution demonstrates its reliability and potential in enhancing environmental monitoring and facilitating data-driven pollution management strategies.