Air pollution is one of the main cause of infections to human health. According to World Health Organization, 15 million people are at health risk due to air pollution every year and numbers are increasing every day because of excess use of coal and petroleum which has increased the interest in air pollution and its impacts among the scientific community. We are going to create and a model that might help us in predicting air quality. There we have a large database provided for the analysis and modelling. On the basis of this we will study all the important features like which concentration of benzene, NO2, CO2 etc. in the air and using all these categories we will determine the air quality. The tools used in this are Machine Learning Algorithms, Python, Feature Engineering, Pandas, NumPy, Seaborn, Flask, HTML, CSS etc.
This model can be used by several government organizations and can help them in making the right decisions related to approval or rejection of any industrial project to control pollution level of our country by using Machine Learning algorithms.