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

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.

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Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-12
DOI
https://doi.org/10.5281/zenodo.18221072
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Dr. A. Meenakshi, B. Sureshbharathi, R. Sam Prasith, S. Santhosh Kumar
Zenodo (CERN European Organization for Nuclear Research)
Face recognition and analysis
article

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

Dr. A. Meenakshi, B. Sureshbharathi, R. Sam Prasith, S. Santhosh Kumar
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Madurai Kamaraj University (IN)
Quality Education
Openalex Percentile: Top 92%
Face recognition and analysis
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