Quiz App with AI Generative Questions

This system presents the development of an intelligent quiz application that leverages AI-driven contentgeneration to dynamically produce questions based on user-selected topics. Traditional quiz systems rely onstatic question banks, which often result in outdated content, limited variety, and repetitive assessments. Incontrast, this application integrates the Open Router API, a gateway to advanced language models, to createa flexible and scalable question-generation mechanism. Users can enter a topic of interest, and the backendsystem communicates with the Open Router API to retrieve fresh, relevant, and contextually appropriatequestions. The system architecture combines ReactJS for the frontend, Node.js for the backend, and OpenRouter for AI integration. This not only enhances user engagement but also allows for real-time,personalized learning experiences. The results show a high degree of accuracy, relevance, and educationalvalue in the AI-generated content. This approach contributes significantly to the field of adaptive learningtechnologies and demonstrates the potential of generative AI in modern educational tools.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-17
DOI
https://doi.org/10.5281/zenodo.15679261
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Quiz App with AI Generative Questions

Zenodo (CERN European Organization for Nuclear Research)
Intelligent Tutoring Systems and Adaptive Learning
article

Quiz App with AI Generative Questions

article en

Abstract

This system presents the development of an intelligent quiz application that leverages AI-driven contentgeneration to dynamically produce questions based on user-selected topics. Traditional quiz systems rely onstatic question banks, which often result in outdated content, limited variety, and repetitive assessments. Incontrast, this application integrates the Open Router API, a gateway to advanced language models, to createa flexible and scalable question-generation mechanism. Users can enter a topic of interest, and the backendsystem communicates with the Open Router API to retrieve fresh, relevant, and contextually appropriatequestions. The system architecture combines ReactJS for the frontend, Node.js for the backend, and OpenRouter for AI integration. This not only enhances user engagement but also allows for real-time,personalized learning experiences. The results show a high degree of accuracy, relevance, and educationalvalue in the AI-generated content. This approach contributes significantly to the field of adaptive learningtechnologies and demonstrates the potential of generative AI in modern educational tools.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 74%
Intelligent Tutoring Systems and Adaptive Learning
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