Foresight of Health Risk Based on Air Pollutants’ Air Quality Index Values

Abstract

This proposed work is mainly focused on the drastic air pollution data in various metropolitan cities. Rapidly growing industrialization both in automobiles and other public sectors massively increases the intensity of air pollution which drastically affects the nature and human rights for decades. The most destructive part of air pollution is that it may badly cause severe immunity problems for both the flora and fauna as well the human life. It might be life-threatening if the air pollutants cross its limit. Different software/tools are used for the prediction of air contamination and it is a formidable one. In this paper, we aim to find an accurate algorithm for implementing a system by utilizing Weka Tool for the prediction of health risks. Algorithms used are Decision tree J48 and Multiclass Classifier. Prediction of health risks is done based on different AQI values of air pollutants such as NO2, O3, CO and, SO2.