Virtual Tutor: AI-Powered Learning Platform

Abstract: E-learning has grown exponentially and changed the way education is delivered across the globe. The online remote and self paced learning provided through digitisation has significantly changed the education accessibility landscape. However, there are still gaps in accessibility and real time support that prevents optimal learning experiences. Here the paper presents Virtual Tutor, an AI driven platform that bridges these gaps and provides personalized education. Using cutting edge technologies like Retrieval-Augmented Generation (RAG), Optical Character Recognition (OCR), Text-to-Speech (TTS) and 3D animation, Virtual Tutor provides a rich intelligent learning environment where students get real time, context aware answers and can interact with an expressive virtual tutor. The system supports multilingual, so students can interact in English and Hindi and has features like automatic note generation, dynamic PowerPoint creation and live class assistance. Using MERN stack and Python based AI modules, Virtual Tutor ensures seamless backend processing, avatar lip sync animation via Rhubarb, natural speech synthesis with Google TTS and intelligent note summarization using Cohere’s NLP. Real world trials show that the platform leads to higher student engagement, better academic performance and more immersive learning experience. The system is modular and scalable and can be used in both synchronous and asynchronous learning environments, making it a solution to the many challenges faced by modern education.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-14
DOI
https://doi.org/10.22214/ijraset.2025.70698
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Virtual Tutor: AI-Powered Learning Platform

Ramesh Kumar Kushwaha
International Journal for Research in Applied Science and Engineering Technology
Advanced Data Processing Techniques
article

Virtual Tutor: AI-Powered Learning Platform

Ramesh Kumar Kushwaha
article en

Abstract

Abstract: E-learning has grown exponentially and changed the way education is delivered across the globe. The online remote and self paced learning provided through digitisation has significantly changed the education accessibility landscape. However, there are still gaps in accessibility and real time support that prevents optimal learning experiences. Here the paper presents Virtual Tutor, an AI driven platform that bridges these gaps and provides personalized education. Using cutting edge technologies like Retrieval-Augmented Generation (RAG), Optical Character Recognition (OCR), Text-to-Speech (TTS) and 3D animation, Virtual Tutor provides a rich intelligent learning environment where students get real time, context aware answers and can interact with an expressive virtual tutor. The system supports multilingual, so students can interact in English and Hindi and has features like automatic note generation, dynamic PowerPoint creation and live class assistance. Using MERN stack and Python based AI modules, Virtual Tutor ensures seamless backend processing, avatar lip sync animation via Rhubarb, natural speech synthesis with Google TTS and intelligent note summarization using Cohere’s NLP. Real world trials show that the platform leads to higher student engagement, better academic performance and more immersive learning experience. The system is modular and scalable and can be used in both synchronous and asynchronous learning environments, making it a solution to the many challenges faced by modern education.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Institute of Management Technology (IN)
Openalex Percentile: Top 89%
Advanced Data Processing Techniques
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