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Abstract
In a world where technology is developing at a tremendously fast pace, the educational field has witnessed various new technologies that help in better learning, teaching and understanding. Video tutorials are playing a major role in helping students and learners understand new concepts at a much faster rate and at their own comfort level, but watching long tutorial or lecture videos can be time consuming and tiring the solution for this can be found through a video to text summarization application. With the help of advance NLP and machine learning we can summarize a video tutorial, this summarized video tutorial will have all important points of the topic. In the core of this system we have used NLTK which is a python library for working on Natural language processing.
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Poojari, S., Kulkarni, S., Vishwakarma, A., Lohiya S. (2020). Automatic Extraction of Text Notes from Video Tutorials
Shah, A, Rane, A, Sarak, R. (2021). An Automated Text Summary Generator of a Video International Journal of Advanced Research in Computer and Communication Engineering Vol. 10, Issue 5, May 2021
Kumar, G., Yadav, A., Vishnupriya, B., Smriti L., Reddy D.2021) Text Summarizing Using NLP
https://cloud.google.com/speech-to-text/docs/basics
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