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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP706

Video Summary Generation System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP706

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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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

AMP

Aishwarya Mansing Phadtare

MGR

Mitali Ganesh Raut

ALP

Ashwini Lalit Patil

AAK

Arya Ajit Kulkarni

STG

Spruha Tushar Gadre

PAK

Pranoti Ashok Kumbhar

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Abstract

– This paper presents a video summary generation system that uses AI to create condensed, informative versions of video content. By utilizing machine learning and natural language processing (NLP), the platform identifies and extracts key sections of a video, eliminating redundant information. It generates structured summaries in multiple languages, available for download in text or PDF formats. The system also features AI-generated quizzes to assess comprehension and a chatbot for real-time assistance. Designed for education, corporate training, and research, the platform enhances video consumption by making it more efficient, interactive, and accessible.

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Cite This Article

Aishwarya Mansing Phadtare, Mitali Ganesh Raut, Ashwini Lalit Patil, Arya Ajit Kulkarni, Spruha Tushar Gadre, Pranoti Ashok Kumbhar, "Video Summary Generation System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

10/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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

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