AI Assistant for BCA and AI/ML

An intelligent, AI-powered assistant designed to support students in BCA courses with a focus on Artificial Intelligence and Machine Learning. This project harnesses the power of Groq's LLM and Wolfram Alpha to deliver comprehensive answers and insights across various topics.

Features

• Topic-based question answering using advanced AI
• Mathematical and scientific computations powered by Wolfram Alpha
• Personalized study tips based on user queries
• Curated learning resource recommendations
• Interactive user interface built with Streamlit

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/ai-assistant-bca-aiml.git
   cd ai-assistant-bca-aiml
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Set up your environment variables: Create a .env file in the project root and add your API keys:

   OPENAI_API_KEY=your_openai_api_key_here
   WOLFRAM_ALPHA_APP_ID=your_wolfram_alpha_app_id_here
   

Access the Application:

1. Open your web browser and navigate to the URL provided by Streamlit (usually http://localhost:8501). Install the required packages:

   streamlit run app.py
   

Start Learning:

1. Select a topic from the sidebar.
2. Enter your question in the text area.
3. Click "Get Answer" to receive a comprehensive response.
4. Explore related study tips and learning resources in the sidebar.

Contributing

We welcome contributions to improve the AI Assistant! Here's how you can help:

1. Fork the repository.
2. Create your feature branch:

   git checkout -b feature/AmazingFeature

3. Commit your changes:

   git commit -m 'Add some AmazingFeature'

4. Push to the branch:

   git push origin feature/AmazingFeature

5. Open a Pull Request.

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Groq for providing the powerful language model.
• Wolfram Alpha for computational intelligence.
• Streamlit for the interactive web application framework.

Support

If you encounter any issues or have questions, please file an issue on the GitHub repository or contact the maintainers directly.

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