rufilboss/AI-Crop-Doctor

AI Crop Doctor for African Farmers # 🌾 AI Crop Doctor AI-powered crop disease detection web application for Nigerian farmers. Detect diseases in Maize, Cassava, and Tomatoes with instant results and treatment recommendations in multiple local languages. ## ✨ Features - 🔍 **AI-Powered Detection**: Advanced machine learning models for accurate disease identification - 📸 **Image Upload & Camera**: Upload images or take photos directly from your device - 🌍 **Multi-Language Support**: Available in English, Hausa, Yoruba, Igbo, and Pidgin English - 💊 **Treatment Recommendations**: Get expert treatment and prevention advice - 📊 **Detection History**: Track your past detections - 🎨 **Beautiful UI**: Modern, responsive design with smooth animations - 📱 **Mobile-First**: Optimized for mobile devices ## 🚀 Quick Start ### Prerequisites - Python 3.8+ - Node.js 18+ - npm or yarn ### Backend Setup 1. Navigate to the backend directory: ```bash cd backend ``` 2. Create a virtual environment: ```bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` 3. Install dependencies: ```bash pip install -r requirements.txt ``` 4. Create necessary directories: ```bash mkdir -p models data ``` 5. Run the backend server: ```bash python main.py ``` The API will be available at `localhost` ### Frontend Setup 1. Navigate to the frontend directory: ```bash cd frontend ``` 2. Install dependencies: ```bash npm install ``` 3. Start the development server: ```bash npm run dev ``` The frontend will be available at `localhost` ## 📁 Project Structure ``` AI-Crop-Doctor/ ├── backend/ │ ├── api/ │ │ └── routes/ # API endpoints │ ├── models/ # ML model wrappers │ ├── services/ # Business logic │ ├── schemas/ # Pydantic models │ ├── utils/ # Utilities │ └── main.py # FastAPI app ├── frontend/ │ ├── src/ │ │ ├── pages/ # React pages │ │ ├── components/ # Re …