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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40702

A SURVEY ON AI-POWERED VIDEO LEARNING COMPANION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40702

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AT

Amal Thomas

AVS

Ardhra V S

AJ

Aswathy J

MRA

Mohammed Roshan A

SR

Sandra R

AC

Anjana C

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Abstract

With the vast amount of YouTube con- tent available, users struggle to extract relevant informa- tion efficiently. Manually watching and taking notes is time-consuming, making an automated solution essential. We propose an AI-powered YouTube Summarization Tool to streamline this process. Our system uses speech-to-text conversion, natural lan- guage processing (NLP), and machine learning to tran- scribe and summarize videos. It employs extractive and abstractive techniques to generate concise summaries while preserving context. Features like

KEYWORDS

extraction senti- ment analysis and topic segmentation enhance comprehen- sion allowing users to navigate content more effectively

Cite This Article

Amal Thomas, Ardhra V S, Aswathy J, Mohammed Roshan A, Sandra R, Anjana C, "A SURVEY ON AI-POWERED VIDEO LEARNING COMPANION," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025.

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Publication Date

5/23/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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