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MRI India Journals Vol. 15 No. 1 (2026)

Video to Text Summarizer with Highlights and Quiz Generator

Authors

  • Jalindar Nivrutti Ekatpure Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Pune, Maharashtra, India
  • Samiksha Jagadale Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Pune, Maharashtra, India
  • Snehal Kargal Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Pune, Maharashtra, India
  • Sakshi Lavand Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Pune, Maharashtra, India
  • Sanika Yadav Department of Computer Engineering, S. B. Patil College of Engineering, Indapur, Pune, Maharashtra, India

Keywords:

Video Summarization Speech-to-Text Natural Language Processing Artificial Intelligence Quiz Generation Educational Technology Automated Learning

Abstract

The increasing use of video-based learning has created a need for efficient content understanding and extraction. This paper presents Video to Text Summarizer with Highlights and Quiz Generator, an AI-powered system that converts video content into structured learning materials such as transcripts, summaries, highlights, quizzes, and timelines. The system uses offline speech recognition (Vosk) and Google Gemini AI to process and analyze video data. It reduces the time required to understand long videos and enhances user engagement through interactive outputs. The proposed solution provides a scalable and efficient approach for improving digital learning and content accessibility.

 

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Published

2026-06-06

How to Cite

Ekatpure, J. N., Jagadale, S., Kargal, S., Lavand, S., & Yadav, S. (2026). Video to Text Summarizer with Highlights and Quiz Generator. International Journal of Electrical, Electronics and Computer Systems, 15(1), 134–141. Retrieved from https://journals.mriindia.com/index.php/ijeecs/article/view/3414

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