Publication

Abstract : Air pollution is a rising issue that the society face. In technology there are progressions leading to evolved life, greenhouse gas pollution is an example. This propounds study focuses on the major contributors of air pollution in different metropolitan areas. Industrialization has escalated in the past few years which resulted in the level of pollution hikes and caused severe impact on the ecology and human rights. In this paper, we are trying to find an accurate algorithm for executing a system, using the Anaconda Tool for forecasting the risks in health. Methods used here are Decision tree classifier and Multiclass Classifier. Forecasting of health risks is done on the basis of the Air quality index values of air pollutants such as NOx, CO, O3, SO2, Xylene, Toluene. Depending on the level of air quality the AQI can be measured.