Authors:
S. Kannan, Sujai Paneerselvam, M. N. Saroja, Mohammad Ayaz Ahmad

Addresses:
Department of Artificial Intelligence and Machine Learning, Sapthagiri NPS University, Bengaluru, Karnataka, India. Department of Computer Science and Engineering, Sapthagiri NPS University, Bengaluru, Karnataka, India. Department of Mathematics, Physics and Statistics, University of Guyana, Georgetown, Guyana.

Abstract:

The fact that pollution in our country is becoming more severe with each passing day is something that everyone is aware of. This environmental issue is contributing to a steep increase in the number of deaths worldwide.  Having said that, "air pollution" is one of these elements that has the greatest detrimental effect on us, out of all of these causes.  Air pollution is having an increasingly detrimental impact on human life and the lives of other living organisms.  The air quality in our country is deteriorating, or perhaps we should say that it is being regularly affected, which is a source of concern for the Department of Health.  The air quality index is growing by the day, as pollution levels continue to rise.  The Indian Air Quality Index, a statistical factor with a high degree of accuracy, is used to examine the levels of pollutants present in the atmosphere over time, including SO2, NO2, Respirable Suspended Particulate Matter, and Suspended Particulate Matter.  We propose conducting a more thorough investigation into the air quality index by applying a variety of machine learning approaches.

Keywords: Air Quality Index; Logistic Regression; Random Forest; Naïve Bayes; Ensemble Learning; Algorithms of Machine Learning; Air Pollution; Levels of Pollutants; Learning Techniques.

Received on: 12/08/2024, Revised on: 18/10/2024, Accepted on: 20/11/2024, Published on: 09/03/2025

DOI: 10.69888/FTSESS.2025.000374

FMDB Transactions on Sustainable Environmental Sciences, 2025 Vol. 2 No. 1, Pages: 50-59

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