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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46776

YouTube Summarization

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46776

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem46776

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

DIN

Dr.V. Indu Nair

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Abstract

The YouTube Summarizer is an AI-powered web application designed to enhance digital content consumption by providing concise summaries of YouTube videos. Developed using the Next.js framework, the platform integrates state-of-the-art language models such as GPT, Gemini, and LLaMA to generate context-aware summaries from extracted video transcripts. It supports multilingual outputs and offers summary customization—like video-style or podcast-style formats—tailored to user preferences. The application features a sleek, responsive UI with session history tracking, making it accessible and efficient for students, researchers, and content creators aiming to quickly grasp video content without full viewing.

KEYWORDS

YouTube Summarizer Natural Language Processing GPT Gemini LLaMA Next.js AI-based Tool Multilingual Summarization. This research presents an AI-powered web application that addresses the growing challenge of processing lengthy YouTube videos by generating customizable context-aware summaries. The tool leverages cutting-edge transformer-based language models (GPT Gemini and LLaMA) capable of multilingual processing and summary style adjustments. Key parameters such as transcript quality model selection and summarization goals are evaluated and optimized. This approach enhances accessibility efficiency and content comprehension for diverse user groups including students researchers and educators

Cite This Article

Dr.V. Indu Nair, "YouTube Summarization," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/ijsrem46776

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Publication Date

5/3/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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1

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Geographic Reach

5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

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

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No funding information available for this research.

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