# multi-hazard early warning

Northeast India has lacked a warning system covering landslides, flash floods and road cut-offs together, with monitoring relying on manual reports and fixed rainfall thresholds that rarely reach individual villages. SAMBHV streams IoT telemetry, weather and radar data through one pipeline, uses two-stage hybrid prediction and a three-way vote of physics, AI and ground verification to set alert levels, and runs offline with multilingual query support. Across 311 disaster test cases the platform reports detection F1 of 0.87, an 8% false alarm rate and 30 seconds from threshold trigger to alert.

Northeast India has lacked a warning system covering landslides, flash floods and road cut-offs together, with monitoring relying on manual reports and fixed rainfall thresholds that rarely reach individual villages. SAMBHV streams IoT telemetry, weather and radar data through one pipeline, uses two-stage hybrid prediction and a three-way vote of physics, AI and ground verification to set alert levels, and runs offline with multilingual query support. Across 311 disaster test cases the platform reports detection F1 of 0.87, an 8% false alarm rate and 30 seconds from threshold trigger to alert.