A Survey on Machine Learning-Based Prediction of Air Quality Index

Computer Engineering

We used machine learning to estimate the air quality index of a certain place in order to forecast the air quality in India. India’s air quality index is a standard metric for indicating pollution levels (so2, no2, rspm, spm, etc.) across time. Many researchers are working on real-time air quality monitoring and forecasting in order to obtain reliable data that will aid in the development of new technologies. putting in place a variety of government policies relating to the For example, the environment or air pollution, as well as making critical judgments. There have been numerous recent advances in air quality forecasting. as well as monitoring strategies The majority of the approaches are automated. As a common analysis tool, machine learning (ML) is used. Because of its unique distinguishing characteristics For our predictive problem, we use cost estimation to improve the model’s efficiency. On this data, multiple Support Vector Machine (SVM) Machine Learning (ML) methods were used to estimate emission rate, and a comparison study was performed. These algorithms were written in Python, and the mean square error of each was calculated to ensure that they were accurate.

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