Can you predict air quality levels in Cameroonian cities based on weather conditions and other environmental factors? This project aims to develop a predictive model that analyzes daily weather measurements and environmental data to forecast air quality, specifically PM 2.5 (Particulate Matter) levels. The dataset encompasses ten major cities across Cameroon: Douala, Yaoundé, Buea, Bamenda,  Ebolowa, Ngaoundéré, Bertoua, Maroua, Garoua, Bafoussam, providing a comprehensive view of air quality challenges in diverse urban environments.