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This project is designed to convert spoken content into real-time captions, including mathematical notation, to enhance the accessibility and learning experience for students

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Captionify

Welcome to the Lecture Captioning Project! This project is designed to convert spoken content into real-time captions, including mathematical notation, to enhance the accessibility and learning experience for students. Whether in the classroom, during lectures, or online tutorials, this system aims to make lecture materials more accessible for everyone, particularly in subjects involving complex mathematical expressions.

👩‍💻 Collaborators

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🚀 Features

  • Real-time Speech-to-Text: Transcribes spoken content to text in real-time, capturing both standard language and mathematical terms.
  • Mathematical Notation Support: Converts math-related speech into LaTeX format, ensuring that formulas and equations are accurately represented.
  • User-friendly Interface: Designed to integrate seamlessly with various lecture settings, making it easy for instructors and learners alike.
  • Instant Caption Generation: Captures speech and immediately generates captions in both text and LaTeX format for immediate use

🎯 How to Use

Clone the repository

git clone https://github.com/your-username/lecture-captioning.git

Install dependencies

pip install -r requirements.txt

Run the Flask app

python app.py

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This project is designed to convert spoken content into real-time captions, including mathematical notation, to enhance the accessibility and learning experience for students

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