EduFace: An AI-Powered Personalized Teaching Platform for Accessible and Engaging Learning

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Authors: Dr. A. Meenakshi, B. Sureshbharathi, R. Sam Prasith, S. Santhosh Kumar
Cited by: 0

Abstract

Abstract - Ensuring equal access to effective educationremains a significant issue, especially in areas facingeconomic challenges, geographic isolation, and limitedinfrastructure. Additionally, traditional teaching materialsoften do not adapt well and do not meet the differentlearning styles of students. EduFace is presented as a smartlearning platform that offers tailored educational videocontent through AI-driven virtual teachers. The systemuses advanced transformer models for contentsummarization, analyzes facial features to createpersonalized avatars, automatically extracts key teachingpoints, and provides high-quality text-to-speech synthesiswith synchronized lip movement to improve realism.Testing shows increased learner engagement and betteraccessibility among diverse student groups. These findingshighlight the platform’s potential to create scalable andinclusive personalized learning environments.

Fields of Study & Subjects

Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Education Educational Technology and Pedagogy

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026
Language
EN