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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM45205

AI and NLP-Driven Technology for YouTube Transcript Processing, Summarization and Automation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM45205

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM45205

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

DPRV

Dr. P. R. Vijayalakshmi¹

RPP

R. P. Priyanka²

SRS

S. Ramya Sree³

BJARP

B. J. A. Rishi Priya⁴

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Abstract

In the digital age, the vast amount of online video content makes it challenging for users to extract key information. The AI-Driven YouTube Transcript & Summary Generator employs Artificial Intelligence (AI) and Natural Language Processing (NLP) to automate the retrieval, processing, and summarization of textual content. By integrating Hugging Face’s Transformers for abstractive summarization, the system generates concise, human-like summaries. Built using Flask as the backend, this web-based application features a Bootstrap-powered interface for accessibility and usability. It also allows users to download transcripts and summaries in PDF format using the FPDF library. By leveraging machine learning, NLP, and AI-driven automation, this tool simplifies information retrieval, benefiting education, research, and knowledge extraction while enhancing productivity.

KEYWORDS

Machine Learning Natural Language Processing YouTube Transcript Processing Abstractive Summarization AI-Driven Automation

Cite This Article

Dr. P. R. Vijayalakshmi¹, R. P. Priyanka², S. Ramya Sree³, B. J. A. Rishi Priya⁴, "AI and NLP-Driven Technology for YouTube Transcript Processing, Summarization and Automation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM45205

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Publication Date

4/20/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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0

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5

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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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