Disaster Response AI

Refining regional supply logistics using automated flood consumption simulators

Flood Resource Distribution AI

Developing predictive AI planners that run on weather data and past evacuation models. The system forecasts food, hydration, and medical consumption rates per regional shelter, preventing zero-resource blockages.

LocationAssam, India

ObjectiveAid Logistics AI

Beneficiaries4 Districts Reached

Duration80+ Days

The Challenge

Limited access to nearby healthcare services made it difficult for rural families to receive timely medical attention and proper guidance.

✓Relief warehouses running completely empty within hours
✓No coordination between regional civil administration and NGOs
✓Inability to forecast where refugees will flee beforehand
✓Spoilage of water-sensitive supplies due to poor warehousing

The Solution

We brought essential healthcare services closer to communities through accessible, reliable, and community driven initiatives.

✓Deployed active regional flood forecasting simulation
✓Integrated real-time dashboard connecting 40+ NGOs
✓Forecasted refugee movement patterns using cell towers
✓Constructed modular elevated aid drop boxes

“

By predicting shelter populations three days before peaks, we lowered emergency food shortages from 40% to less than 5% across all regional relief operations.

”

Overall Program Impact

95%

Resource Stock-outs Saved

89%

Forecast Accuracy

78%

NGO Collaboration Ratio

92%

Supplies Saved from Spoilage

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