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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55270

Agentic AI for Automated Video Summaries and Subtitle Creation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55270

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55270

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

PRP

Prof. Ravindra Patil1

PES

Prof. Ekata Shanbhag2

SB

Sameerahamad Bagalad3

VK

Vinay Kumbar4

BNV

Basappa Ningappa Vajramatti5

SG

Satish Gawada6

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Abstract

This paper introduces an agentic artificial intelligence framework designed for the automated analysis, summarization, and multilingual subtitle generation of video content. The system integrates advanced large language models (LLMs) from Groq, leveraging their capabilities for high-speed transcription, comprehensive insight extraction—including key topics, actionable items, critical questions, and emotion breakdowns—and robust multilingual translation. Complementing these capabilities, the framework incorporates ElevenLabs for high-quality text-to-speech summary playback and a Streamlit-based interactive user interface. This holistic tool efficiently processes videos from diverse sources (uploaded files or YouTube URLs), generating accurate transcripts, insightful summaries, and dynamically translated subtitles in languages such as English, Hindi, and Kannada. The proposed framework holds significant promise for enhancing content accessibility and streamlining information digestion across educational, media, and business sectors.

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Cite This Article

Prof. Ravindra Patil1, Prof. Ekata Shanbhag2, Sameerahamad Bagalad3, Vinay Kumbar4, Basappa Ningappa Vajramatti5, Satish Gawada6, "Agentic AI for Automated Video Summaries and Subtitle Creation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55270

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Publication Date

12/16/2025

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Double-Blind Peer Review

Review Rounds: 2

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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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