Open-Source AI Models for Africa

24 models built by African innovators across 6 sectors.

24 models 6 sectors 3 countries

Climate Resilience

Soil nutrient prediction (geospatial feature engineering)

Feature-rich geospatial pipeline (1,000+ engineered features) + soil-depth matching to predict multiple nutrients from satellite/climate/soil signals.

Country: Kenya | Sector: Climate Resilience | GitHub

Soil nutrient prediction (domain-aware ensemble)

Domain-aware ensemble that blends Random Forest + LightGBM, with adversarial feature selection; separate inference path for historical vs 2025 data.

Country: Kenya | Sector: Climate Resilience | GitHub

Soil nutrient prediction (climate-zone & village models)

Climate-zone + village-level modelling: Köppen–Geiger clustering, hierarchical statistics, and an ensemble to improve nutrient estimates without lab tests.

Country: Kenya | Sector: Climate Resilience | GitHub

Climate & market resilience (solution 1)

Hackathon model: climate & market resilience (FarmSawa).

Country: Kenya | Sector: Climate Resilience | GitHub

Climate & market resilience (solution 2)

Hackathon model: climate & market resilience (FarmSawa).

Country: Kenya | Sector: Climate Resilience | GitHub

Climate & market resilience (solution 3)

Hackathon model: climate & market resilience (FarmSawa).

Country: Kenya | Sector: Climate Resilience | GitHub

Supply Chain

Customer retention (LTV/retention modelling pipeline)

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Country: Ghana | Sector: Supply Chain

Customer retention (RFM features + supervised churn/propensity)

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Country: Ghana | Sector: Supply Chain

Customer retention (customer segmentation via clustering + cohorts)

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Country: Ghana | Sector: Supply Chain

Produce recommendations (baseline/shared solution)

Baseline/shared recommender system solution for the Farm to Feed online challenge (Zindi).

Country: Kenya | Sector: Supply Chain | GitHub

Produce recommendations (next-basket prediction, female team)

Winning/shared solution: produce recommendations (Farm to Feed).

Country: Kenya | Sector: Supply Chain | GitHub

Produce recommendations (next-basket prediction, end-to-end)

Winning/shared solution: produce recommendations (Farm to Feed).

Country: Kenya | Sector: Supply Chain | GitHub

Maize price forecasting (lag/rolling features pipeline)

County-level maize price predictor (Kenyan award): lag/rolling features + ML regression for weekly price forecasts.

Country: Kenya | Sector: Supply Chain | GitHub

Maize price forecasting (calendar + lag features regression)

Maize price forecasting workflow (female award): regression model with calendar/lag features to predict weekly prices by county.

Country: Kenya | Sector: Supply Chain | GitHub

Maize price forecasting (time-series features + ML regression)

Weekly dry-maize price forecaster across Kenyan counties: time-series feature engineering + ML regression to support sell-timing decisions.

Country: Kenya | Sector: Supply Chain | GitHub

Agri-Finance

Credit scoring (hybrid index: satellite + mobile data)

Hackathon model: inclusive credit scoring (FarmSawa).

Country: Kenya | Sector: Agri-Finance | GitHub

Credit scoring (XAI risk dashboard & fairness)

Hackathon model: inclusive credit scoring (FarmSawa).

Country: Kenya | Sector: Agri-Finance | GitHub

Credit scoring (behavior-based predictive model)

Hackathon model: inclusive credit scoring (FarmSawa).

Country: Kenya | Sector: Agri-Finance | GitHub

Livestock

Practice adoption prediction (structured preprocessing for generalisation)

Practice-adoption model tuned for Kenyan-context generalisation: structured preprocessing + supervised learning for 7/90/120-day adoption probabilities.

Country: Kenya | Sector: Livestock | GitHub

Practice adoption prediction (end-to-end feature engineering + classification)

End-to-end practice-adoption predictor (7/90/120 days): feature engineering on training records + classification models with probability outputs.

Country: Kenya | Sector: Livestock | GitHub

Practice adoption prediction (robust probability estimation)

Practice-adoption prediction pipeline (7/90/120 days) optimized for stable probability estimates and leaderboard performance (female team award).

Country: Kenya | Sector: Livestock | GitHub

Crop Science

Crop type mapping (pixel classification, solution 1)

Winning/shared solution: pixel-level crop classification (Tolbi).

Country: Ivory Coast | Sector: Crop Science | GitHub

Crop type mapping (S2 time-series segmentation, solution 2)

Winning/shared solution: pixel-level crop classification (Tolbi).

Country: Ivory Coast | Sector: Crop Science | GitHub

Crop type mapping (remote sensing DL pipeline, solution 3)

Winning/shared solution: pixel-level crop classification (Tolbi).

Country: Ivory Coast | Sector: Crop Science | GitHub