The aim of IMfire is to develop a platform which can continuously self-adapt to any region in the world, during the several stages of a wildfire: 1) prevention, 2) planning, and 3) combat. For that, by exploiting the potential of state-of-the-art machine learning (ML) and artificial intelligence (AI) algorithms, one can feed the models with historical and real time fire, weather and vegetation data from the region, so that the intelligent system can:
1) determine more precise the fire-risk indexes (prevention)
2) continuously improve its predictions (planning), without the need for systematic manual calibrations
3) perform a numerical analysis for the efficient wildfire combat strategy (combat)