AI-DRIVEN AUTOMATED EDUCATIONAL VIDEO CREATORUSING NLP AND TEXT-TO-SPEECH

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Abstract

The increasing demand for scalable and engaging digital learning solutions has highlighted the need for automated educational content generation.This work presents an intelligent system designed to transform static academic materials into dynamic educational videos with minimal human intervention.The system ingests textbook content from PDF files or images, extracts relevant text using optical character recognition, and processes the information through natural language processing techniques to identify and summarize key concepts.The refined content is then converted into human-like speech using text-to-speech technology and synchronized with AI-generated visuals to create complete instructional videos.The framework emphasizes the preservation of contextual structure and learning continuity while reducing manual content preparation.Experimental results demonstrate that the proposed approach enhances content delivery efficiency and supports consistent knowledge representation.The study establishes that combining NLP and TTS technologies provides a reliable and adaptable solution for modern e-learning platforms, academic institutions, and personalized learning environments.

Fields of Study & Subjects

Robotics and Automated Systems Intelligent Tutoring Systems and Adaptive Learning Social Robot Interaction and HRI

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
4 January 2026