Published Paper Details:

As air quality is rapidly affecting people's health, the government must take required action to forecast it. The air quality index calculates the quality of the air. Other air pollutants include carbon dioxide, nitrogen dioxide, and carbon monoxide, which are emitted by the burning of natural gas, coal, and wood as well as by businesses, automobiles, and other human activity. Air pollution can result in fatal conditions like lung cancer, brain disease, and even demise. Machine learning techniques are used to calculate the air quality index. Although there have been many studies in this field, the conclusions are still not trustworthy. We have two options for completing the project. First, we can estimate the present or future air quality by knowing the precise values of SO2, Nox46, and RSPM49. Alternatively, we may use machine learning methods to compare the air quality. Air quality monitoring stations, two training and testing data sets, and the official website of the Central Pollution Control Board (CPCB) are all accessible. Decision trees, lasso regression, linear regression, K-NN regression, etc.