Air Quality Index Prediction using Data Science and Machine Learning

Author(s)	Ms. NANDINI V, Ms. NANDINI M, Ms. JYOTSHNA N, Mr. KAMAL K, Dr. MC. BHANU PRASAD
Country	India
Abstract	The air is polluted due to human sports, industrialization and urbanization. The most not unusual copper oxides are CO, NO, C6H6, and so on. The awareness of pollutants within the temperature, humidity, and velocity of the wind in the atmosphere, as well as the wind's path, all play a role in determining the ambient air. In the past, methods alongside plausibility and realities were utilized to anticipate air decent, but those systems are more challenging to foresee. AI (ML) is the best technique to anticipate air first-rate. It uses system getting to know strategies to are expecting the humidity of the air and the want to expect numerous parameters including CO, lead oxide, non-metal hydrocarbons, benzene, titanium, NO, tungsten, oxides of nitrogen, temperature and many others. Root imply rectangular error of prediction accuracy.
Keywords	Air Quality Index, Data Preprocessing, Air Quality Analysis, Python.
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-04-03

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