An Effective Algorithm to Enhance the Performance of Online Quiz System

This research study intends to develop an online quiz system that prioritizes user involvement, enjoyment, and performance. To achieve this, the proposed platform features a diverse array of quiz themes and formats, catering to a wide audience with varied interests and preferences. Unlike traditional platforms that rely on ranking systems, our application fosters a relaxed environment where users can engage with quizzes at their own pace, free from competitive pressure. Methodologically, we conducted user testing, performance monitoring, and comparative analysis with rival algorithms to assess the platform's effectiveness. The research findings indicate high levels of user satisfaction, engagement, and overall performance, along with areas for improvement identified through these evaluations. Notably, we plan to enhance the platform further based on user feedback and experimental learnings. This includes optimizing the quiz creation algorithm, implementing UI enhancements, and exploring gamification and social integration features. Our developed online quiz system thus presents a promising tool for education, collaboration, and entertainment, aiming to cultivate a welcoming and inclusive community where learning is both enjoyable and socially enriching.