Adaptive Cognitive Ranking and Learning

This paper presents the design and development of a full-stack web application -Adaptive Cognitive Ranking and Learning -aimed at personalizing the educational experience through cognitive assessment and learning-style profiling.The system employs a secure authentication mechanism and engages users through three interactive mini-games (Memory, Pattern, Reaction) to evaluate their cognitive abilities.Game scores are normalized and aggregated into a single Cognitive Rank on a 0-100 scale.Complementing this, a VARK-inspired questionnaire identifies the user's dominant learning style -Listening (Auditory), Video (Visual), or Picture/Diagram-based.The platform then delivers tailored learning strategies and recommends curated educational resources and websites, ensuring that learners receive guidance best suited to their cognitive profile.Built using React (Vite) on the frontend and Node.js/Express on the backend with SQLite/Sequelize for data persistence, the application demonstrates the practical integration of gamification, cognitive science, and personalized recommendation systems in a modern web environment.