🌱 Plant Disease Prediction

This project predicts plant diseases using machine learning.
It includes:

• A Streamlit app (app.py) for interactive predictions
• A Google Colab Notebook (ds_final.ipynb) for experiments & analysis

🚀 Features

• Synthetic dataset generation
• RandomForestClassifier model
• Streamlit-based UI for predictions
• Shows prediction probability & model accuracy

📂 Project Structure

plant-disease-prediction/
├── app.py              # Streamlit app
├── ds_final.ipynb      # Google Colab notebook with analysis & models
├── requirements.txt    # Project dependencies
└── README.md           # Project documentation

⚙️ Installation

1. Clone this repo:

   git clone https://github.com/<your-username>/plant-disease-prediction.git
   cd plant-disease-prediction

2. Install dependencies:

pip install -r requirements.txt

▶️ Run Streamlit App

streamlit run app.py

📊 Notebook

• Open ds_final.ipynb in Google Colab for detailed analysis and model experimentation.

📜 License

This project is open-source and available under the MIT License.