Air Pollution Prediction Systems in City Highways using Artificial Intelligence

The danger to the human’s health in metropolitan environments usually city highways happen due to air pollution. By the use of Artificial intelligence (AI) system has been designed in this paper so as to reduce air pollution on city roads. Our examination merges data analysis and modelling for reduction of air pollution. Data acquisition, data pre-processing, data analysis and model development are various steps which are included in the methodology. Training of different machine learning models is done in model development. The capabilities of AI for air quality index (AQI) in a particular region is showcased through user-interactive model. Perceptive data on air pollution patterns on city roads along with framework which rely on AI for handling and forecasting air quality is illustrated in result section. Environmental health and traffic management in city areas are few of the implications.