Youtube Video Summarizer Using Machine Learning

Abstract

The Exponential Growth Of Video Content Platforms Like YouTube Pose Challenges For Users In Accessing And Consuming Relevant Content Efficiently. To Tackle This Issue, The Proposed System Applies Machine Learning And Natural Language Processing Methods To Generate Concise Summaries Of YouTube Videos. By Employing Automated Speech Recognition, Punctuation Restoration, Keyword Extraction, And Summarization Techniques, The System Delivers Quick And Meaningful Insights, Saving User Time And Enhancing Accessibility. The Project Integrates Tools Such As Speech Recognition, YAKE, SpaCy, And Deep Multilingual Punctuation To Process Video And Audio Streams, Providing A User-friendly Interface Built Using Flask. This System Offers A Novel Method For Video Summarization, Which Can Be Highly Beneficial In Fields Such As Education, Research, And Media Analysis.

Keywords