Quiz App with AI Generative Questions
This system presents the development of an intelligent quiz application that leverages AI-driven content generation to dynamically produce questions based on user-selected topics. Traditional quiz systems rely on static question banks, which often result in outdated content, limited variety, and repetitive assessments. In contrast, this application integrates the Open Router API, a gateway to advanced language models, to create a flexible and scalable question-generation mechanism. Users can enter a topic of interest, and the backend system communicates with the Open Router API to retrieve fresh, relevant, and contextually appropriate questions. The system architecture combines ReactJS for the frontend, Node.js for the backend, and Open Router 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 educational value in the AI-generated content. This approach contributes significantly to the field of adaptive learning technologies and demonstrates the potential of generative AI in modern educational tools.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-02
- DOI
- https://doi.org/10.5281/zenodo.15575733
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00