In present developing countries government believes regulation of air as a main significant job. Here the following plays a significant role in air pollution such as burning of fossil fuels, meteorological and traffic factors, industrial parameters like power plant emission etc. Along with all the particulate matter that verify the quality of the air, based on AQI which notes the daily air quality, which gives the rate of which pollutant stage is elevated in the air, these pollutants cause severe issue on people’s health where constantly checking and controlling is important. Present paper is engaged to analyze the data sample based on the different algorithms to predict accuracy of AQI level based on the previous NO2, SO2 and SPM readings. This system attempts to predict accuracy of AQI level and analyze air quality supports on a data set considering of daily distinctive environment in the country and give an idea of which algorithm is best suited for predicting the future air quality.
Machine learning, NO2, SO2, Prediction, air quality index.
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