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MCQ generator using NLP

Converting Audio, video, pdf files to MCQs

  • Aim: Improve online education by enhancing video lectures.
  • Purpose: Provide students with opportunities for active learning and assessment during the lecture.
  • Approach: Develop a system to automatically generate Multiple-Choice Questions (MCQs).
  • Tools: Utilize Pytube, Python, OpenAI's Whisper API, and Spacy for the task.
  • NLP Techniques: Apply Natural Language Processing (NLP) and AI methods.
  • Result: Generate high-quality MCQs complete with distractors for a comprehensive assessment.

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  • Jupyter Notebook 72.7%
  • Python 27.3%