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FDMUN V

Sponsored · by FDMUN

Final Year Project

TutorEase

Team

DA Daniyal Ahmed HA Haniya Khan HA Hassan Farooqui
Artificial Intelligence Adaptive Learning Personalized Education Gamification Intelligent Feedback Learning Analytics Student Motivation Educational Technology E-Learning Performance Tracking

Abstract

Traditional e-learning platforms often lack adaptability, providing static content and uniform assessments that fail to meet the diverse learning needs of students. This results in reduced engagement, slower progress, and limited knowledge retention. TutorEase addresses these challenges through an AI-powered adaptive learning approach that personalizes the educational experience for every learner.  The platform intelligently analyzes student performance and learning behavior to generate customized learning paths, ensuring that lessons, assessments, and feedback evolve according to individual progress. Its adaptive assessment engine dynamically adjusts question difficulty and delivers instant, AI-driven feedback to help students identify and overcome their weaknesses. Gamification elements such as badges, levels, and leaderboards sustain motivation and make learning more engaging, while an integrated analytics dashboard provides clear insights into academic growth and performance trends. By combining artificial intelligence, adaptive learning, and gamified interaction, TutorEase transforms conventional e-learning into a personalized, interactive, and effective educational environment—empowering students to take ownership of their learning journey and achieve better outcomes.
FDMUN V

Sponsored · By FDMUN

FDMUN V

Sponsored · By FDMUN

FDMUN V

Sponsored · By FDMUN