ML pipeline predicting child malnutrition risk in Chad using DHS 2014 survey data. Gradient Boosting achieved 92% accuracy and 0.979 AUC on 9,826 children. 52.9% of Chadian children under five are malnourished.
QGIS plugin for Sahel region geospatial analysis with AI chatbot — START Hack 2025
This repo contains R code to grab ITF data from NOAA CPC ftp server : https://ftp.cpc.ncep.noaa.gov/fews/itf/
Sahel region geospatial dashboard with AI-powered analysis — START Hack 2025
FructoSahel — AI-powered farm management platform for agricultural operations in the Sahel region
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