Quiz Web Application Using AI Generator
Dr. M. Sengaliappan 1, Alexarputharaj .A 2
1 Professor & Head, Department of Computer Applications, Nehru College of Management,
Bharathiar University,Coimbatore,Tamilnadu,India cmsengs.7@gmail.com
2 Master of Computer Applications, Nehru College of Management,
Bharathiar University,Coimbatore,Tamilnadu,India alexarputharaj007@gmail.com
Abstract
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
Artificial Intelligence, Quiz Web Application, Question Generation, GPT, BERT, LLaMA, Transformer Models, Adaptive Learning, Personalized Assessment, Educational Technology, Flask Framework, MongoDB, Natural Language Processing (NLP), Machine Learning, Real-time Feedback, Data Security.
