TUTOR

TUTOR is an AI-powered educational assistant designed to help users with audio transcription, PDF text extraction, and question answering. It leverages advanced AI models and Retrieval-Augmented Generation (RAG) to provide accurate and contextually relevant responses based on uploaded content.

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🚀 Features

• 🎙️ Audio Transcription: Upload audio files and get accurate transcriptions instantly.
• 📄 PDF Text Extraction: Extract valuable insights from PDF documents effortlessly.
• 💬 Question Answering: Ask questions based on uploaded content and get AI-powered answers.
• 🧠 General AI Tutor: Ask general questions and receive context-aware AI responses.

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🎯 Why TUTOR is Different?

Traditional LLM applications often struggle with delivering accurate, context-aware answers. TUTOR leverages Retrieval-Augmented Generation (RAG) to combine the power of large language models with a curated knowledge base.

This ensures:

• Responses are not solely based on pre-trained data.
• Answers are grounded in the specific content provided by the user (audio transcriptions or PDF text).
• Enhanced accuracy and contextual relevance.

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🌐 Try Out TUTOR

• Streamlit Version: Try the online version of TUTOR directly at Streamlit App Link.
• Web App Version: The Flask web app version needs to be installed and run locally following the Setup Instructions. and demo is here for web app
  • 🖼️ Web App Demo (Screenshots Preview)

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⚙️ Setup Instructions

For detailed setup instructions, please refer to the Setup Instructions file.

Quick Start:

# Clone the repository
git clone https://github.com/slfagrouche/TUTOR.git
cd TUTOR

# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Add API keys to .env
# Run the app
python app.py

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🤝 Contributing

We welcome contributions! Follow these steps:

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 your branch:

   git push origin feature/AmazingFeature

5. Open a Pull Request.

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📄 License

Distributed under the MIT License. See the LICENSE file for more information.

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⚠️ Disclaimer

Please see DISCLAIMER.md for important information about AI-generated content and its limitations.

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For further assistance, reach out via GitHub Issues.

Happy Coding! :)