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@article{202759,
        author = {Prof. Bhagat P. V. and Sakshi Satish Sawant and Gayatri Vijay Nikam and Dipali Shivaji Daund and Dr. Shah Saloni Niranjan},
        title = {AI Powered E-learning Video Summarizer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {8603-8609},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=202759},
        abstract = {The rapid growth of online education platforms, recorded lectures, webinars, tutorials, and educational videos has created a major challenge for students and learners in understanding large amounts of content within limited time. Long educational videos often contain repeated explanations, pauses, unnecessary discussions, and lengthy demonstrations that make learning time-consuming. Manual note-taking and reviewing complete videos also reduce learning efficiency and student productivity.
This paper presents an intelligent AI Powered E-Learning Video Summarizer system that uses Artificial Intelligence, Natural Language Processing, Speech Recognition, and Machine Learning techniques to generate concise summaries from educational videos automatically. The proposed system focuses on converting video speech into text using speech-to-text models, extracting important keywords and concepts, generating summaries, and presenting meaningful learning content to users in less time.
The system uses Whisper Speech Recognition for audio transcription, TF-IDF and NLP techniques for text summarization, and Flask for web-based interaction. The application supports educational video summarization, chatbot-based learning assistance, PDF summary generation, and transcript analysis. Students can upload lecture videos or provide YouTube links to generate summarized educational content instantly.
The proposed system reduces manual learning effort and im-proves study efficiency by helping students understand important concepts quickly. This system can be used in schools, colleges, online learning platforms, training centers, and smart education systems to improve digital learning experiences and educational productivity.},
        keywords = {Artificial Intelligence, E-Learning, Video Summarization, Natural Language Processing, Whisper, Machine Learning, TF-IDF, Flask, Speech Recognition, Educational Technology.},
        month = {May},
        }