This project will estimate particulate matter (PM2.5) levels from satellite observations based on Aerosol Optical Depth (AOD) for seven cities in seven African countries: Lagos, Accra, Nairobi, Yaounde, Bujumbura, Kisumu, and Gulu. It will employ varying ground monitoring resolutions using machine learning algorithms, and use available ground-based observations in the selected cities to validate the satellite estimates. The outcomes of the developed AI models will be deployed through user-friendly digital platforms and a mobile app which democratizes and empowers communities to access crucial air quality information. This will foster evidence-based, informed, and inclusive decision-making and strategic interventions for tackling local pollution challenges while achieving environmental justice.