Winner: Predict4Good Hackathon (April 2026)
Anticipatory Aid.
Math-driven Supply Chains.
Humanitarian relief is fundamentally broken by its reactive nature. Hungerless uses climate forecasts, empirical yield data, and geospatial algorithms to predict food deficits and optimize logistics months before a crisis hits.
Yield Prediction
Non-linear modeling of crop responses to regional precipitation (e.g., East African maize) to accurately forecast impending harvest deficits.
Geospatial Routing
Utilizes Haversine formulas and KeNHA commercial profiles to calculate real-world trucking distances from national silos to affected counties.
FinOps Optimization
Integrates live EPRA pump prices to instantly generate optimized, multi-million dollar humanitarian logistics budgets.