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Prediction of Air Quality using Machine Learning


Author : Pooja Kulkarni and Prof.Reena Kharat

Pages : 913-915
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Abstract

We speculate the pleasing air of India via the usage of machine gaining knowledge of to predict the air great index of a given area. Air pleasing index of India is a general measure used to indicate the pollutant (so2, no2, rspm, spm. etc.) degrees over a time. We developed a model for predicting the air quality index, based primarily on historical facts from previous years and predicting multivariable regression over a particular upcoming 12 month issue. Examining and protecting excellent air has become one of the most essential things the authorities need to do today in many industrial and urban areas .Factors of meteorology and tourists, fossil fuel burning, and manufacturing parameters play a major role in air pollution. With this growing contamination of the air,We want to propose models that document records of air pollutant concentrations (so2,no2,etc)

Keywords: AQI; dataset; preprocessing; ML algorithm; pickle file

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