Deep Learning – Based Lecture Video Summarization For Smart Education

Abstract

The Rapid Growth Of Online Learning Platforms Has Led To A Large Collection Of Lecture Videos, Making It Difficult For Students To Revisit Lengthy Content. To Solve This Issue, The Proposed System Is Developed As A User-friendly Web Application That Converts Long Lecture Videos Into Short And Meaningful Summaries. The System Extracts Audio From Videos And Converts It Into Text Using Speech-to-text Technology, Which May Contain Redundant Information. Natural Language Processing (NLP) And Deep Learning Techniques Are Applied To Identify Key Concepts And Important Sentences. Based On This, A Structured Summary Is Generated To Highlight The Main Ideas Of The Lecture. This Helps Users Quickly Understand The Content Without Watching The Entire Video. The System Improves Learning Efficiency, Saves Time, And Supports Effective Revision. Overall, It Provides An Intelligent Solution For Managing And Summarizing Lecture Video Content.

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