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PrezUpServerNLP

Version: 1.0.0

Overview

PrezUpServerNLP is the AI-powered analysis service for the PrezUp system, responsible for evaluating presentation quality using NLP and machine learning techniques.

Features

  • Speech analysis for clarity, fluency, and confidence.
  • Scoring system (1-10) for presentation evaluation.
  • Integration with PrezUpServerAPI for seamless data exchange.

Requirements

  • Python 3.9+
  • Flask
  • TensorFlow / PyTorch (if used for deep learning analysis)
  • PrezUpServerAPI running

Installation

  1. Clone the repository:
    git clone https://github.com/yourusername/PrezUpServerNLP.git
  2. Navigate to the project directory:
    cd PrezUpServerNLP
  3. Create a virtual environment:
    python -m venv venv
    source venv/bin/activate (On Windows use: venv\Scripts\activate)
  4. Install dependencies:
    pip install -r requirements.txt
  5. Run the server:
    python app.py

Contribution

Contributions are welcome! Please submit issues or pull requests.

License

MIT License

Author

Chaya Ziv

About

flask with models of LLM and NLP

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