Paper Title

QuizMe: An AI-Powered Quiz Generation System

Article Identifiers

Registration ID: IJNRD_218461

Published ID: IJNRD2404402

DOI: Click Here to Get

Authors

Rohan Kumar Saini , Rishabh , Harshit Mahavar , Mukul Sharma , Abhishek Shivhare

Keywords

Quiz Generation, Artificial Intelligence, Personalized Learning, OpenAI, Next.js, TypeScript, Tailwind CSS, PostgreSQL, Digital Education

Abstract

QuizMe represents a paradigm shift in personalized learning through its innovative use of AI technologies. This innovative system allows users to effortlessly generate customized quizzes on a wide array of topics, catering to diverse educational and learning needs. By harnessing the power of artificial intelligence, "QuizMe" streamlines the process of quiz generation, offering users a user-friendly interface to input preferences and receive meticulously curated quiz questions and answers. This research paper explores the development, implementation, and implications of QuizMe, a platform designed to generate contextually relevant quizzes on diverse topics. Leveraging Next.js, Node.js, Tailwind CSS, PostgreSQL database, Prisma, and OpenAI API, QuizMe redefines interactive learning experiences by providing educators and learners with a powerful tool for personalized assessment and knowledge acquisition.

How To Cite (APA)

Rohan Kumar Saini, Rishabh, Harshit Mahavar, Mukul Sharma, & Abhishek Shivhare (April-2024). QuizMe: An AI-Powered Quiz Generation System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), e5-e9. https://ijnrd.org/papers/IJNRD2404402.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : e5-e9

Other Publication Details

Paper Reg. ID: IJNRD_218461

Published Paper Id: IJNRD2404402

Downloads: 000122003

Research Area: Computer Science & Technology 

Country: Greater Noida, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404402.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404402

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

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How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

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