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GreenSenseAI is a cutting-edge AI assistant specialized in agriculture. Our mission is to provide insightful data analysis and help farmers make informed decisions. This project is a web-based application built using Streamlit, a Python library for creating web applications.
- Crop Disease Detection: Real-time detection of crop diseases using computer vision and machine learning algorithms.
- Chatbot: An AI-powered chatbot that provides personalized advice and answers to farmers' questions.
- Crop Prediction: Predicts the most suitable crop for a given set of environmental conditions.
- Monitoring: Live feeds from Raspberry Pi 4 cameras for monitoring crop health.
- Analysis: In-depth analysis of crop data trends over the year.
- Authentication: Secure login and signup system for users.
- Python 3.8 or higher
- Streamlit 1.10.0 or higher
- PyTorch 1.11.0 or higher
- OpenCV 4.5.5 or higher
- Langchain 0.0.14 or higher
- Altair 4.1.0 or higher
- Clone the repository:
git clone https://github.com/your-username/greensenseai.git - Install the required packages:
pip install -r requirements.txt - Run the application:
streamlit run app.py
- Open a web browser and navigate to
http://localhost:8501 - Login or signup to access the application
- Explore the various features and tools provided by GreenSenseAI
Contributions are welcome! If you'd like to contribute to GreenSenseAI, please fork the repository and submit a pull request.
We would like to acknowledge the following libraries and frameworks that have made this project possible:
- Streamlit
- PyTorch
- OpenCV
- Langchain
- Altair
If you have any questions or need help with GreenSenseAI, please don't hesitate to reach out to us at abhishekshara705@gmail.com.