Comprehensive Survey on AQI Prediction Using Machine Learning Algorithms

Air pollution has become a danger to human, plant, and animal life. The Air Quality Index is used to calculate it. Air pollution is caused by a variety of air pollutants such as carbon dioxide (CO2), carbon monoxide (CO), particulate matter 2.5 (PM-2.5), and many others. As a result, it is advantageous to forecast air quality and make informed decisions to avoid any injury or impacts. To calculate the air quality index, several machine learning methods have been developed and applied. This survey study addresses numerous machine learning techniques for estimating air quality, such as Support Vector Machine, Linear Regression, Artificial Neural Networks, Decision Trees, and Random Forest.