AQI Monitoring and Predicting System

Abstract

The rate of industrialization and urbanization has accelerated substantially since the Industrial Revolution. The majority of industrial applications cause air pollution, which is hazardous to people's health. Vehicle emissions are also a major factor to these issues. The majority of developing countries suffer from severe air pollution. According to recent reports, more than ten Indian cities are ranked first. Air quality is an important component in determining air quality. As a result, in order to make a city smart and livable, the air quality index must be regularly monitored. This study aims to use IOT in conjunction with the cloud to make services real-time and faster. The system's primary goal is to access and visualize air quality based on real-time sensor data. At regular intervals, the level of each hazardous pollutant is measured. The Air Quality Index (AQI) for the measured pollutants is calculated, and public awareness is raised via a web application that shows the air quality index in that specific place. Further, ML model is developed which can predict future AQI index value based on the collected data which in order can helps in making precautions arrangements in the case of worst AQI index in concern of public health.