AI–based IoT Real Time Air Monitoring System

In order to detect and forecast air pollutants, this study suggests a real-time air quality monitoring system based on AI and IoT. To offer precise and trustworthy air quality data, the system combines sensors, Internet of Things devices, and machine learning algorithms. With an accuracy rate of more than 90%, the suggested system can identify and predict air pollutants such as O3, PM2.5, and NO2. Stakeholders can access air quality data and get tailored suggestions using a mobile application and real-time data visualization dashboard. Proactive steps to lower air pollution are made possible by the system's predictive analytics capability, improving public health and environmental sustainability.