Plant-Disease-Detector

🌿 Plant Doctor - AI Leaf Disease Diagnosis App

Plant Doctor is a powerful Streamlit-based web app that allows users (especially farmers and researchers) to detect and visualize crop leaf diseases using a hybrid CNN–Transformer deep learning model. It supports classification and diagnosis of tomato, potato, and pepper diseases, along with treatment suggestions powered by Cohere’s language model.

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🚀 Features

• CNN + MobileViT-based Transformer for high-accuracy image classification
• Grad-CAM visualizations to show disease focus areas
• Upload any crop leaf image for diagnosis
• AI Assistant with Cohere API for treatment advice
• Disease browsing by plant type (tomato, potato, pepper)
• Real-time prediction confidence display

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🖼 Supported Diseases

Supports 15 common crop conditions including:

• Tomato: Early Blight, Leaf Mold, Yellow Leaf Curl Virus, Mosaic Virus, etc.
• Potato: Early Blight, Late Blight, Healthy
• Pepper (Bell): Bacterial Spot, Healthy

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🛠 Tech Stack

• Frontend: Streamlit
• Backend: TensorFlow (CNN + MobileViT hybrid)
• Visualization: Grad-CAM, Matplotlib
• NLP Assistant: Cohere API
• Data Preprocessing: Keras ImageDataGenerator, OpenCV

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⚙️ Installation

1. Clone the repository

   git clone https://github.com/yourusername/plant-doctor-ai.git
   cd plant-doctor-ai
   
   

2. Create and activate a virtual environment
   python -m venv venv
   source venv/bin/activate # or venv\Scripts\activate on Windows

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3. Install requirements

   pip install -r requirements.txt

4. Run the app
   streamlit run main.py

Example

Upload a sample tomato leaf image and click Diagnose Leaf Disease to see:

Prediction label: Tomato Late Blight

Confidence: 95.3%

Heatmap showing infection region

Suggested treatment from AI assistant

📜 License

This project is licensed under the MIT License. See LICENSE for more information.

🔗 Acknowledgements

PlantVillage Dataset
Cohere Language API
TensorFlow, Streamlit, OpenCV, and the ML community 🌍