othmaneechc/fert-recon-map

Interactive Morocco fertilizer recommendation map: React + Leaflet frontend on Vite, backed by a FastAPI/Earth Engine service with locally trained Fertimap surrogate models for soil-based nutrient recommendations. # Fert Recon React + Vite + Leaflet frontend and FastAPI backend for Morocco fertilizer recommendations and EE-powered maps. ## Frontend ```bash npm install npm run dev # localhost:5173 ``` Set `VITE_API_BASE` to point at your backend in prod (defaults to `/api` locally). ## Backend ```bash python -m venv .venv source .venv/bin/activate pip install -r server/requirements.txt uvicorn server.main:app --host 0.0.0.0 --port 8000 ``` Provide EE creds via `GOOGLE_APPLICATION_CREDENTIALS` (or upload through `/api/auth/service-account` in the UI). Ensure `public/data/fertimap_grid.csv` and `server/fertimap_rf_models.joblib` are present; retrain surrogates with: ```bash python - <<'PY' from server.fertimap_service import train_local_models train_local_models() PY ``` ## Deploy hints - Frontend: build `npm run build` (output `dist`), serve statically; set `VITE_API_BASE=your-backend`. - Backend: deploy `uvicorn server.main:app` (Railway/Fly/Render/etc.), install `server/requirements.txt`, keep model/data files accessible, add EE auth env vars.