An AI-Based Early Warning Framework for Natural Disasters in Afghanistan

Afghanistan gets hit by floods, earthquakes, landslides, droughts and avalanches, sometimes all in one year, sometimes in the same valley. In remote mountain villages the damage gets worse for a simple reason: the warning shows up late, or it never shows up. This paper sketches an early warning system built around Afghan conditions, with AI handling the data work. It would pull in weather readings, past disaster records, satellite images and terrain data, then estimate how likely each hazard is and sort that into four risk levels. Warnings would go out by SMS, radio, mobile apps and local community networks, but only after a real person has checked them.To be upfront, this is a proposal and nothing is running yet. Earthquakes can't be predicted, so for those the aim is risk maps and faster alerts once one has started. The idea is to back up the official disaster-management agencies and leave the final calls with them.