Comparative Analysis of Air Quality Index Prediction using Machine Learning

S. Lakshmi

Abstract: Quality of air played a major role in the life of human being. Now a days, the amount of air pollution is increased due to so many reasons such as industries, factories and vehicles. Various health issues are created when the quality of air is polluted or degraded. Designing a system to measure the quality of the air is a challenging task, but measuring the air quality is really a boon for our society. It can be used in many ways such as educating the public about the negative effects of low-quality air especially in children. The purpose of this paper is to conduct the comparative analysis of the air quality index by applying various machine learning algorithms.

Keywords: Air quality index, Machine learning algorithms, pollution and Evaluation

How to Cite?: S. Lakshmi, "Comparative Analysis of Air Quality Index Prediction using Machine Learning", Volume 13 Issue 1, January 2024, International Journal of Science and Research (IJSR), Pages: 873-875, https://www.ijsr.net/getabstract.php?paperid=SR24112050412, DOI: https://dx.doi.org/10.21275/SR24112050412