Edu Vault: An Interactive, Multilingual, and Intelligent Topic-Conscious Video Discovery System for Enhanced Conceptual Learning Using Advanced NLP Techniques

Authors

  • Lopa Mandal Alliance University
  • T. Bhaskara Harsha Vardhan Alliance University
  • K. Ganesh Narasimha Reddy Alliance University
  • D. Sai Yeswanth Reddy Alliance University
  • Sauvik Bal Techno India University

DOI:

https://doi.org/10.13053/cys-29-3-5888

Keywords:

Educational videos, NLP, automatic speech recognition, machine translation, transformers, large language models, semantic reasoning, machine learning

Abstract

The present work developed an intelligent topic-conscious video discovery system to retrieve videos from YouTube to enhance e-learning. Speech recognition and machine translation techniques have been used to transform educational videos into easy-to-understand, organized content. The platform supports multilingual content and can transcribe, translate, summarize, and illustrate concepts in an effective manner. It also calculates the readability score of the extracted documents to ensure learners’ understanding. The platform uses live data from YouTube, is 93\% accurate, and responds quickly to search queries, in less than a second. The effective management of large data is handled by the four tier Command Query Responsibility Segregation (CQRS) architecture. Using their API simplifies the link up to YouTube and Google translate. This innovative approach provides solutions towards earing language barrier, saves learners time by helping them discover their needs quickly, and simplifies understanding of difficult subjects.

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Published

2025-09-25

Issue

Vol. 29 No. 3 (2025): Vol 29 No 3 (2025)

Section

Articles of the Thematic Section

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