🌱 Plant-Pal: Revolutionizing Plant Care for Farmers 🌾

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🚀 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.

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🌟 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.

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💻 Technology Stack

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

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🔬 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.

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🔧 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

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📸 Features

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🤝 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.

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📜 License

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

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📧 Contact

For inquiries or suggestions, feel free to reach out:

• Author: Sanjay J | Miruthula Sk | Rohith
• Email: sanjayjayachandran08@gmail.com

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Contributors

Rohith Role/Contribution

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