The regulation of air pollutant levels is rapidly increasing and its one of the most important tasks for the governments of developing countries, especially India. It is important that people know what the level of pollution in their surroundings is and takes a step towards fighting against it.. For Training purpose we are taking an AIR QUALITY DATA IN INDIA( 2015-2020) city-day csv data set . And applied RANDOM FOREST, DECISION TREE, LOGISTIC REGRESSION, GAUSSIAN NAIVE BAYES, SUPPORT VECTOR MACHINE Algorithms for all of this RANDOM FOREST Algorithm got highest level of Accuracy 92.8234... For Testing purpose we are Building an IOT based device. This is a simple prototype for an Environmental IoT Air Pollution/Quality Monitoring System for monitoring the concentrations of major air pollutant gases. The system uses 3 sensors like PMS5003 PM2.5 Particulate Matter Sensor, MQ-135 Air Quality Sensor, BME280 Barometric Pressure Sensor. In this IoT project, you can monitor the pollution level from anywhere using your computer or mobile. PMS5003 PM2.5 Particulate matter sensor from Plant power measure particle concentration in PM1.0, PM2.5 & PM10. This MQ-135 Air Quality Sensor measures concentrations of gases such as CO, CO2, SO2, and NO2 and gives the result in PPM (Part per.Million).Similarly,BME280Measures environmental Temperature, Pressure & Humidity.

Pollution detection, Pollution Prediction, Logistic Regression, Random forest, particular matter