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🌱 Plant-Pal: Revolutionizing Plant Care for Farmers 🌾


🚀 About Plant-Pal

Plant-Pal is your ultimate farming assistant! Designed to empower farmers with cutting-edge technology, it:

  • 🔍 Detects plant diseases with unparalleled accuracy.
  • 💊 Offers precise treatment recommendations.
  • 🌾 Suggests optimal crops for sustainable growth.
  • 🌍 Supports multiple languages, tailored for every farmer.

🌟 Key Features

🌍 Multi-Language Support

Communicate effortlessly in your native language and make farming insights accessible to all.

📸 Intelligent Disease Detection

  1. Snap a photo of your plant.
  2. Plant-Pal processes the image automatically for compatibility.
  3. Gemini Vision Pro AI analyzes the image to detect plant diseases with unmatched efficiency.

💡 Smart Crop Recommendations

Using your input, Plant-Pal suggests the most suitable crops to grow, ensuring maximum yield and soil sustainability.

Lightweight Yet Powerful

  • Built with Streamlit, ensuring a sleek, responsive app experience.
  • Powered by Troboflow Cloud Inference and Gemini Vision Pro, keeping the app fast and efficient.

💻 Technology Stack

Component Technology
Disease Detection Gemini Vision Pro API
Backend Framework Streamlit
Cloud Inference Model Troboflow
Programming Language Python
Frontend Streamlit UI

🔬 Why Choose Plant-Pal?

🌟 Efficiency at Its Best

By offloading heavy ML tasks to Gemini Vision Pro and Troboflow, Plant-Pal ensures a lightweight app that doesn’t compromise on power.

🌟 Accurate & Reliable

Our AI models are fine-tuned to deliver highly accurate results in detecting diseases and recommending solutions.

🌟 Farmer-Centric Design

  • Simple to use, even for non-technical users.
  • Fast and responsive, perfect for real-world farming scenarios.

🔧 Setup Instructions

Follow these steps to get Plant-Pal running on your system:

  1. Clone the Repository:

    git clone https://github.com/sanjayjr8/Plant-Pal.git
  2. Navigate to the Project Directory:

    cd Plant-Pal
  3. Install Dependencies:

    pip install -r requirements.txt
  4. Run the Application:

    streamlit run app.py

📸 Features

Disease Detection Page Screenshot Crop Recommendation Page Screenshot


🤝 Contributing

We welcome contributions from everyone! To contribute:

  1. Fork this repository.
  2. Create a feature branch:
    git checkout -b feature-name
  3. Commit your changes and open a pull request.

📜 License

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


📧 Contact

For inquiries or suggestions, feel free to reach out:


Contributors

username1
Rohith

Role/Contribution

🌟 Don’t forget to give a star if you find this project helpful! 🌟