Chakula-Africa/chakula-credit-score

# 🌾 AgriScore — AI-Powered Credit Scoring for Smallholder Farmers ## Overview AgriScore is an AI-driven solution that empowers smallholder farmers in Africa to access fair credit, insurance, and financial tools — even without formal banking histories. By analyzing farm, market, and environmental data, AgriScore generates dynamic, data-backed credit scores that lenders can trust and farmers can benefit from. --- ## 🚜 Problem Millions of farmers across Kenya and Africa remain unbanked or underbanked because traditional credit systems rely on financial histories that smallholder farmers typically lack. However, these farmers hold valuable alternative data — such as soil quality, crop yield, and market behavior — that can reveal financial reliability. AgriScore bridges this gap by turning agricultural and environmental data into financial trust. --- ## 💡 Solution & Innovation AgriScore leverages AI and synthetic data modeling to create fair, transparent, and inclusive credit profiles. ### Key Access Channels: - **Web Platform (Online):** For lenders, institutions, and data partners. - **USSD Interface (Offline):** For farmers without smartphones. ### Core Data Components: 1. **FarmSurvey** – Estimates input costs using satellite imagery, drone scans, or soil test data. 2. **RiskFactors** – Analyzes weather and pest/disease patterns to predict yield. 3. **MarketPrice** – Projects expected income using commodity trends and production volumes. The outcome is a data-driven AgriScore that represents real agricultural potential rather than missing financial records. --- ## 🧠 Data & Methodology AgriScore combines synthetic data generation and real agricultural datasets from sources like: - Kenya’s **Ministry of Agriculture** - **KAMIS** (Kenya Agricultural Market Information System) - **Satellite-based farm surveys** ### Principles: - **Fairness:** Bias-free credit evaluation. - **Transparency:** Explainable AI models. - **Inclusivity:** Representation across Kenya …