Predicting Air Quality

Predicting Air Quality

Abhishek Kumar, Sumit Sharma, Keshav Saini, Bhavya Thathera, Darshan Kaur

Computer Science Engineering

Chandigarh University,

Mohali, India

Abstract -- A list for revealing air quality is known as the air quality file (AQI). It measures the short-term effects of air pollution on a person's health. The motivation behind the AQI is to instruct general society on the negative well-being impacts of neighbourhood air contamination. How much air contamination in Indian urban communities has altogether expanded? The air quality index can be calculated mathematically in several different ways. Various examinations have found a connection between air contamination openness and unfavourable well-being influences in the populace. Data mining is one of the most intriguing methods for predicting and analysing AQI. This paper aims to determine the most efficient means by which AQI prediction can aid in climate control. The best technique can be enhanced to track down the most ideal arrangement. As a result, the work that is done in this paper requires extensive research as well as the addition of novel methods to guarantee that the best solution to the issue of poor air quality will be found. Another significant objective is to exhibit and show the specific measurements engaged with our work so that it is instructive and clever and subsequently gives legitimate examinations and helps future scientists.

Keywords – Air Quality Index (AQI), Air pollution, Short-term effects, Health impacts, AQI prediction, Climate control, Novel methods, Extensive research, Comparative analysis, Future research.