×

AI Tutor: Personalized Learning Using Visual AI

Author : Avinash D R, Bharath B R, Deekshith S, Vijay M R, Prof. Madhunandana H M, Dr. Girish Rao Salanke N. S Journa Name: International Journal of Science, Engineering and Technology Volume: 14 issue: 2 Year: Volume-14-issue-2 Views : 193
Abstract:
This research introduces a multimodal AI-powered tutoring system designed to make learning more personalized, engaging, and accessible. Unlike traditional digital platforms that provide generic responses, the proposed tutor adapts to each student by understanding their study material and learning needs. It uses low-latency Large Language Models combined with Retrieval-Augmented Generation (RAG) to answer questions directly from uploaded PDFs, ensuring clarity and accuracy. Visual-AI modules interpret diagrams and images to support visual learning, while an automated assessment engine generates MCQs for instant performance feedback. Results show that this approach boosts student confidence, comprehension, and self-directed learning, helping reduce educational gaps and making high-quality tutoring available to everyone.

Related Indexing Platform

Indexed

Zenodo Logo
Zenodo
Research Data Repository
https://zenodo.org/records/19703774
DOI
DOI Resolver
Global Persistent Identifier
https://doi.org/10.5281/zenodo.19703774
GS
Google Scholar
Search this title on Scholar
Search on Google Scholar
SS
Semantic Scholar
Search this title
Search on Semantic Scholar
Lens
Lens.org
Check citations via DOI
Search on Lens.org
Leave Your Comment

Related Reviewers

Chat with Expert