Video Information Extraction and Summarization Tool

Author(s)	Satish Chadokar, Himanshi Soni, Prachi Narnaware, Tanish Arya, Aswini Deshmukh
Country	India
Abstract	The objective of this paper is to develop a user-friendly interface that allows users to obtain a summary of YouTube videos using Natural Language Processing (NLP) and Machine Learning. With a vast number of videos being uploaded to YouTube every day, finding relevant content can be time-consuming and challenging. Often, users struggle to extract meaningful information, making their search efforts unproductive. Our project addresses this issue by summarizing videos and presenting concise yet informative summaries. The abstractive summarization model processes YouTube video transcripts and generates a shortened version while retaining key information. This approach helps save time by providing a condensed yet meaningful summary of the original content. Although the implementation is still in progress, the framework and research behind the project have been outlined.
Keywords	Video Summarization, Artificial intelligence (AI), Machine Learning
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-03-18
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.39592
Short DOI	https://doi.org/g882hj

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International Journal For Multidisciplinary Research