Air Quality Prediction Of Data Log By Machine Learning

The air quality monitoring system measures various air pollutants in various locations to maintain good air quality. It is the burning issue in the present scenario. Air is contaminated by the arrival of dangerous gases into the climate from the industries, vehicular emissions, etc.. Nowadays, air pollution has reached critical levels and the air pollution level in many major cities has crossed the air quality index value as set by the government. It has a major impact on the health of the human. With the advancement in technology of machine learning, it is now possible to predict the pollutants based on the past data. In this paper we are introducing a device that can continue that can take present pollutants and with the help of past pollutants, we are running an algorithm based on the machine learning to predict the future data of pollutants. The sensed data is saved inside the Excel sheet for further evaluation. These sensors are used on the Arduino Uno platform to collect the pollutant data.