samankwah/agromet

Advanced agricultural intelligence platform for Ghana, featuring AI-powered crop disease detection, personalized farming assistance, and enhanced analysis using Kaggle datasets. # AgroMet Monorepo This repository now contains: - `frontend/` - Vite React application - `backend/` - FastAPI backend with SQLite, JWT auth, agricultural record storage, and chat/FAQ endpoints ## Frontend setup ```bash cd frontend npm install npm run dev ``` ## Backend setup ```bash cd backend python -m pip install -r requirements.txt python -m uvicorn app.main:app --reload --port 8000 ``` ## Root scripts From the repo root: ```bash npm run frontend:dev npm run backend:dev ``` ## Environment files - Copy `frontend/.env.example` to `frontend/.env` - Copy `backend/.env.example` to `backend/.env` The frontend now expects a single backend base URL: ```bash VITE_BACKEND_BASE_URL=localhost ```