GboyeStack-Robotics-ML-Engineer/AgriTrust

Smallholder farmers in West Africa face a catch-22: they need capital to protect and improve their yields, but traditional banks refuse to issue micro-loans due to a lack of formal credit history and the inherent biological risks of farming. AgriTrust Edge solves this by bridging agricultural technology and fintech to turn crop health into verifiab # AgriTrust Edge **Live Application:** agritrust-edge-186579904097… --- ## 🌍 Overview AgriTrust Edge is a groundbreaking platform that merges agricultural telemetry with fintech to solve the alternative credit scoring problem for smallholder farmers. By analyzing local field scans (simulating Edge Computer Vision devices) and combining them with historical financial transaction volume (Mobile Money / MoMo logs), the system generates an immutable "AgriTrust Score." This enables confident, algorithmic underwriting for micro-loans in regions lacking traditional banking infrastructure. ## 🚀 Features - **Biology Matrix:** AI-driven real-time analysis of crop health, pathogen status, and harvest yield capabilities. - **MoMo Ledger Integration:** Fusion of financial footprints via mobile money transfer volume and utility payment history. - **Trust Scoring Engine:** Advanced, weighted logic outputting a definitive, risk-assessed credit score (300-850 scale). - **Edge Node Dashboard:** A premium, interactive terminal bridging offline field data uploads with backend diagnostic compute nodes. --- ## 💻 Detailed Run Instructions Follow these instructions to run the AgriTrust Edge platform locally on your machine. ### Prerequisites - **Node.js**: v18.0.0 or higher - **npm**: v9.0.0 or higher ### 1. Installation Clone the repository, navigate into the project directory, and install all required framework dependencies: ```bash # Clone the repository git clone # Navigate into the project cd agritrust-edge # Install dependencies npm install ``` ### 2. Environment Configuration The application relies on an artificial intelligence API to analyze crop images in the backend. You must configure your environment variables for this feature to work. 1. Create a local `.env` file by copying the provided example template: ```bash cp .env.example .env ``` 2. Open your new `.env` file in a code editor. 3. Locate the `GEMINI_API_KEY` variable and paste yo …