Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53200
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This document outlines a web application powered by AI that creates customized multiple-choice quizzes tailored to user preferences such as topic, subject, or difficulty level. The platform promotes self-directed learning by offering instant feedback and comprehensive explanations, which assist users in enhancing their comprehension. A key feature is the ability to upload documents in real-time: users can provide study materials (like PDF notes) and obtain personalized quizzes based on that content, facilitating last- minute review and addressing gaps between preparation and assessment. The interface is optimized for web use, ensuring a seamless and responsive experience, with future plans for mobile compatibility. A secure backend oversees quiz data and user performance records. The AI engine employs advanced transformer models (LLaMA, BERT, GPT) to curate and generate questions, while also delivering analytical insights on accuracy, response time, and areas needing improvement, allowing users to monitor and enhance their progress. Data management is encrypted and prioritizes privacy, ensuring both security and scalability. Future developments will include gamification elements, leaderboards, and adaptive learning pathways. Our methodology provides a dynamic, tailored learning resource designed to boost study efficiency and engagement.
KEYWORDS
Publication Date
10/25/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
7
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...