An accurate prediction of PM2.5 concentration for a web application

Environmental research has become a problem for today's society due to its implication in ensuring a healthier and more sustainable future. It anticipates and combats events that could change the health of the average person and the climate in which he lives. Air pollution is one of the main factors in premature deaths, posing a considerable risk to public health. The main diseases that can occur as a result of pollution are strokes or myocardial infarction. For this reason, citizens seek to be informed and know, in real time, the level of air quality both at the time when the information is sought and in the future. The air quality in that area can be predicted according to the variation of temperatures and air currents. This paper proposes the creation of a model to predict the level of air quality. Thus, the prediction will be made over a period of time in order to be able to adopt various specific measures that are required. For example, warning vulnerable people, the elderly, and parents with children, while limiting travel to certain areas for which air quality is exceeded.