🌱 Plant Growth Predictor

An end-to-end web application that predicts plant growth milestones based on user input including sunlight, water frequency, fertilizer type, temperature, and humidity. Built using FastAPI for the backend and React for the frontend.

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🚀 Getting Started

🧠 Prerequisites

• Python 3.8+
• Node.js & npm
• Git

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🛠 Backend Setup (FastAPI)

1. Navigate to backend folder:

   cd backend

2. Activate the virtual environment:

   • Windows

     .\env\Scripts\activate

   • macOS/Linux

     source env/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the FastAPI server:

   uvicorn app:app --reload

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💻 Frontend Setup (React)

1. Navigate to frontend folder:

   cd frontend

2. Install dependencies:

   npm install

3. Run the React app:

   npm start

• App runs on: http://localhost:3000

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🌐 API Endpoint

Method	Endpoint	Description
POST	/predict	Predict plant growth stage

📥 Example Request

{
  "Soil_Type": "clay",
  "Sunlight_Hours": 6.5,
  "Water_Frequency": "daily",
  "Fertilizer_Type": "organic",
  "Temperature": 24.0,
  "Humidity": 60.0
}

📸 UI Preview

📦 Built With

• 🐍 FastAPI — Fast modern Python web framework
• ⚛️ React — For building the frontend UI
• 🔀 CORS Middleware — Cross-Origin setup
• 🧪 ML: ML model for predictions (integrated in model/)

📜 License

This project is licensed under the MIT License.

🙌 Acknowledgements

Thanks to nature, science, and machine learning 💚.