paswebsol/agri-technology-africa-ai

# Agri-Technology Africa — AI Agricultural Analysis v2 A working Node.js agricultural AI analysis application for drone/field images. ## What it does - Upload RGB drone images or crop/leaf photos - AI crop-health assessment - Visible stress/anomaly detection - Possible disease/pest indicators - Ground-check recommendations - Priority level - Structured agricultural report - Analysis history - JSON report download - Server-side OpenAI API key protection ## Install Requirements: Node.js 18+. 1. Extract this ZIP. 2. Open a terminal in the project folder. 3. Run `npm install`. 4. Copy `.env.example` to `.env`. 5. Put your OpenAI API key in `.env`. 6. Run `npm start`. 7. Open localhost The application uses the OpenAI Responses API and sends the uploaded image as an image input. ## Important This is an agricultural decision-support and early-warning system. It must not be treated as a definitive laboratory disease diagnosis. Confirm important findings through field inspection, agronomist review, and appropriate local guidance. The application intentionally avoids giving pesticide dosage/mixing instructions. ## Regular AI Analysis PDF Completed regular agricultural AI analyses can be downloaded as professional PDF reports from the **Download Professional PDF Report** button. The PDF is generated server-side from the stored analysis, includes the Agri-Technology Africa logo as a light watermark, and contains summary, observations, possible causes, disease early warning, verification steps, and safety disclaimer.