🌱 Botanic Defenders

AI-powered agricultural insights and plant disease detection system.

Features

🚀 Crop Yield Dashboard

• Real-time Weather Integration: Get current weather data for any location
• Smart Crop Recommendations: AI-powered suggestions based on temperature and climate
• Agricultural Tips: Expert advice for optimal crop growing conditions
• Location-based Insights: Tailored recommendations for your specific area

🔬 Plant Health Detection

• AI-Powered Disease Identification: Advanced machine learning models trained on thousands of plant disease images
• Instant Analysis: Get results in seconds with detailed confidence scores
• Treatment Recommendations: Expert advice on organic and chemical treatments
• Fertilizer Suggestions: Best fertilizers for plant recovery
• Mobile-Friendly: Works perfectly on all devices

Tech Stack

Frontend

• Next.js 14 - React framework with App Router
• TypeScript - Type-safe development
• Tailwind CSS - Utility-first CSS framework
• Framer Motion - Smooth animations
• Lucide React - Beautiful icons
• shadcn/ui - Modern UI components

Backend

• FastAPI - High-performance Python web framework
• Transformers - Hugging Face ML models
• PyTorch - Deep learning framework
• Google Gemini AI - Advanced AI for treatment recommendations
• PIL (Pillow) - Image processing
• OpenWeatherMap API - Weather data integration

Getting Started

Prerequisites

• Node.js 18+ and npm
• Python 3.8+
• Git

Frontend Setup

1. Navigate to the frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Start the development server:

npm run dev

The frontend will be available at http://localhost:3000

Backend Setup

1. Navigate to the backend directory:

cd backend

2. Create and activate virtual environment:

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Start the backend server:

python main.py

Or use the startup script:

chmod +x run.sh
./run.sh

The backend API will be available at http://localhost:8002

Environment Variables

Create a .env.local file in the frontend directory:

BACKEND_URL=http://localhost:8002

API Endpoints

Backend API (Port 8002)

• GET / - API status
• GET /health - Health check
• POST /predict - Plant disease prediction

Frontend API (Port 3000)

• POST /api/plant-health/predict - Proxy to backend prediction API

Usage

Crop Yield Dashboard

1. Navigate to the dashboard
2. Enter your city or location
3. Get real-time weather data and crop recommendations
4. View agricultural tips based on current conditions

Plant Health Detection

1. Go to the Plant Health page
2. Upload an image of your plant
3. Get instant AI-powered disease analysis
4. Receive treatment and fertilizer recommendations

Project Structure

Botanic-defenders/
├── frontend/                 # Next.js frontend application
│   ├── app/                 # App Router pages
│   │   ├── dashboard/       # Main dashboard with crop yield
│   │   ├── plant-health/    # Plant disease detection page
│   │   └── api/            # API routes
│   ├── components/         # React components
│   │   ├── crops/          # Crop-related components
│   │   └── ui/             # UI components
│   └── lib/                # Utilities and configurations
├── backend/                # FastAPI backend application
│   ├── main.py            # Main FastAPI application
│   ├── requirements.txt   # Python dependencies
│   └── test_gemini.py     # Gemini API testing
└── README.md              # This file

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

License

This project is licensed under the MIT License.

Support

For support and questions, please open an issue on GitHub.

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Botanic Defenders - Empowering farmers and gardeners with AI-driven agricultural insights! 🌱🤖