AbstractThe rapid digitization of education has significantlyreshaped modern learning methodologies by enablingremote access, self-paced study, and large-scale knowledgedissemination. However, despite these advancements, mostcontemporary e-learning platforms continue to rely on staticcontent delivery models, offering limited adaptability toindividual learner needs. This lack of personalization oftenresults in reduced learner engagement, inefficient studypatterns, and poor knowledge retention.This paper presents EduVerse, an AI-powered personalizedlearning companion designed to overcome these limitationsby delivering adaptive learning experiences throughintelligent tutoring, personalized content generation, andreal-time learning analytics. EduVerse integratesconversational artificial intelligence, adaptiverecommendation mechanisms, and interactive analyticsdashboards to create a learner-centric educationalenvironment.The system utilizes modern web technologies such as Reactand Tailwind CSS for responsive user interaction, Supabasefor secure authentication and scalable cloud-based datamanagement, and OpenAI-powered conversational modelsfor intelligent tutoring and academic assistance. Learningpaths are dynamically adapted based on learnerperformance, behavioral patterns, and engagement metrics.Experimental evaluation conducted with student usersdemonstrates improved engagement levels, enhancedconceptual understanding, and higher study efficiencycompared to conventional e-learning platforms. The resultsconfirm that AI-assisted personalization plays a critical rolein improving digital learning effectiveness. EduVerseprovides a scalable, secure, and intelligent educationalplatform suitable for academic institutions, self-learners,and professional skill development.
Mr. Asir D, Mr. Chinna Durai R, Mr. Mariselvam K, Mr. Sibi Rajan A (Mon,) studied this question.