• Madhu Kumari
• Roshan Jain

In the previous two years, the database – presently covering in excess of 4300 urban areas and settlements in 108 nations – has about multiplied, with an ever increasing number of areas estimating air pollution levels and perceiving the related wellbeing impacts. In the proposed work , we have conceived the idea of the Air Quality Index count and expectation for the specific date utilizing the idea of the machine learning of the information and Naive Bayes algorithm for the dynamic the forecast procedure.

Air Pollution, Air Quality Index

"Novel Concept of Air Pollution Determination using Machine Learning and Sub-Index Calculation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.10-15, June-2019, Available :http://www.jetir.org/papers/JETIR1908C03.pdf

"Novel Concept of Air Pollution Determination using Machine Learning and Sub-Index Calculation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp10-15, June-2019, Available at : http://www.jetir.org/papers/JETIR1908C03.pdf