AI Powered Quiz Generator

Read full text
Cited by: 0

Abstract

The rapid and unprecedented advancement of Ar-tificial Intelligence (AI) has catalyzed a paradigm shift across various sectors, with the educational landscape undergoing a particularly profound transformation.However, the traditional process of creating assessments remains a labor-intensive bot-tleneck, fraught with challenges such as scalability limitations, human bias, and significant delays in delivering feedback.This paper presents the "AI Powered Quiz Generator," a cutting-edge, web-based solution designed to automate the assessment creation process.By leveraging Large Language Models (LLMs)-specifically Google's Gemini 2.5 Flash-and Natural Language Processing (NLP), this system addresses the critical bottleneck of manual quiz generation.The system includes dual input modes (Topic and PDF), customizable difficulty levels, and automated grading with detailed explanations.Developed using the Flask framework, SQLite, and Bootstrap, the system demonstrates the feasibility of generating high-quality, context-aware Multiple Choice Questions (MCQs) autonomously, thereby democratizing access to personalized assessment.

Fields of Study & Subjects

Innovative Energy Harvesting Technologies Analog and Mixed-Signal Circuit Design Engineering and Technology Innovations

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
3 January 2026