Individualized Mastery Quest: Crafting Customized Question Papers and Dynamic Hint Generation for Personalized Learning Journeys Using Cutting-Edge Rank-Based Algorithm

In this digital era, online examination platforms are crucial for conducting virtual exams efficiently. This research introduces an individual question paper and hint generation system using React, Node.js, and MongoDB, aligning with the trend of remote assessments. Traditional question papers suffer from predictability and lack of personalization. To address these, a rank-based algorithm provides personalized hints based on individual performance. Additionally, the Fisher-Yates Shuffle Algorithm ensures unbiased shuffling of elements, maintaining exam integrity. By leveraging these technologies, the platform enhances exam security and fairness while adapting to the demands of the digital age.