IoT based Indoor Air Pollution Monitoring System

Abstract: With the increasing concern over indoor air pollution and its impact on human health, there is a growing need for effective monitoring systems that provide real-time data on air quality parameters. This paper presents an IoT-based indoor air quality monitoring system designed to accurately measure and analyze key pollutants in indoor environments. The proposed system utilizes wireless sensor nodes, a central gateway, and cloud-based analytics to enable continuous monitoring and management of indoor air quality. Users can access the system's monitoring and analysis features through a user-friendly web or mobile interface, enabling them to make informed decisions regarding indoor air quality management. The system also allows for remote monitoring and control, providing flexibility for users to assess and improve air quality even when they are not physically present in the monitored environment. This study contributes to the growing body of research on indoor air quality and provides new strategies for improving indoor air quality and safeguardinghuman health.

Keywords: Indoor Air Pollution, AQI, Real-time monitor-ing, Data analysis.