IoT-Enabled Smart Air Quality Monitoring System

Abstract

The contemporary challenge of maintaining good air quality hinges on effectively monitoring various air pollutants across different regions. Pollution, stemming from industrial emissions, vehicular exhaust, and other sources, has escalated to critical levels, surpassing government-set air quality index values in many major cities. This pollution profoundly impacts human health.Leveraging advancements in Machine Learning (ML) technology, it's now feasible to predict pollutant levels based on historical data. To combat this issue, we propose an IoTbased air pollution monitoring system. The primary aim is to track atmospheric pollutant concentrations in real-time.