Momahmoses/market-food-security

||GIS and ML pipeline predicting food price spikes and mapping food insecurity across Northern Nigeria, the Sahel and Horn of Africa. # Market Price Volatility & Food Security Intelligence GIS + ML pipeline predicting food price spikes and mapping food insecurity risk across Northern Nigeria, the Sahel, and Horn of Africa, integrating GPS market data, commodity prices, conflict proximity, and drought indices. --- ## Problem Statement Food price spikes in fragile markets can push households into acute hunger within weeks. Early detection of price volatility requires integrating market, climate, and conflict data in real time. This platform provides a 4-week price spike early warning to humanitarian agencies and governments. --- ## Features | Feature | Description | |---------|-------------| | Price Spike Prediction | Gradient Boosting classifier on 120 markets × 24 time periods | | IPC Phase Mapping | Stable / Stress / Crisis / Emergency classification per market zone | | Conflict Integration | ACLED proximity index as a price volatility driver | | Drought Index Overlay | NDVI anomaly and SPI drought indicators | | Interactive Dashboard | Market map with price trends and spike alert markers | --- ## Tech Stack | Layer | Technology | |-------|-----------| | Machine Learning | scikit-learn (Gradient Boosting) | | Geospatial | GeoPandas, Folium, Plotly Mapbox | | Data | pandas, NumPy | | Visualisation | Matplotlib, Seaborn | --- ## Quick Start ```bash git clone github.com cd market-food-security pip install -r requirements.txt python main.py ``` --- ## Data Sources - WFP VAM market price monitoring database - FEWS NET livelihood zone classifications - ACLED conflict event data - NOAA Climate Prediction Center SPI drought index - MODIS NDVI anomaly products --- ## Author **Momah Moses**, Geospatial AI Engineer & Data Scientist GitHub · Portfolio