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StudyVerse: An AI-Powered Learning and Study Companion
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: https://doi.org/10.64388/IREV9I9-1715798
Abstract
Today, engineering students use multiple digital platforms to study. They might use one website to read notes, another app to practice quizzes, and YouTube to watch video lectures. Switching between all these different places takes a lot of time and makes it hard to focus on studying. To solve this problem, we developed a project called StudyVerse. This web application brings all study materials into one single place. A student simply types a topic name or uploads a PDF document, and our system automatically creates study notes, a multiple-choice quiz, flashcards, and a mind map for that specific topic. We built the frontend with ReactJS and the backend server with NodeJS, using Google Firebase to store user profiles and progress. For generating the text content, we connected the system to two different AI models. This way, if one model fails, the second one takes over automatically so the student faces no delay. We also added a gamification feature where students earn points and streaks to motivate them to study daily. Overall, StudyVerse reduces the effort required to collect study material and helps students prepare for exams much faster.
Keywords
Artificial Intelligence, E-Learning, Gamification, Large Language Models, Optical Character Recognition, System Architecture.
How to cite this paper
@article{1715798,
author = {Abhay Kande, Vikas Lagad, Siddharth Keer, Karan Dudhbhate, Dr. Sunanda Pandita; Bhakti Deshmukh},
title = {StudyVerse: An AI-Powered Learning and Study Companion},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {3266-3268},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715798.pdf},
abstract = {Today, engineering students use multiple digital platforms to study. They might use one website to read notes, another app to practice quizzes, and YouTube to watch video lectures. Switching between all these different places takes a lot of time and makes it hard to focus on studying. To solve this problem, we developed a project called StudyVerse. This web application brings all study materials into one single place. A student simply types a topic name or uploads a PDF document, and our system automatically creates study notes, a multiple-choice quiz, flashcards, and a mind map for that specific topic. We built the frontend with ReactJS and the backend server with NodeJS, using Google Firebase to store user profiles and progress. For generating the text content, we connected the system to two different AI models. This way, if one model fails, the second one takes over automatically so the student faces no delay. We also added a gamification feature where students earn points and streaks to motivate them to study daily. Overall, StudyVerse reduces the effort required to collect study material and helps students prepare for exams much faster.},
keywords = {Artificial Intelligence, E-Learning, Gamification, Large Language Models, Optical Character Recognition, System Architecture.},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715798}
}