Published Paper Details:

The rapid growth of digital education platforms has transformed the way students access learning resources; however, most traditional e-learning systems still follow a generalized teaching approach that does not adapt to the individual needs, abilities, and learning pace of students. To address this limitation, this paper presents LearnSphere, an AI-powered adaptive learning ecosystem designed to deliver a personalized and intelligent educational experience. The proposed system integrates artificial intelligence techniques such as student classification, recommendation systems, Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) to create a dynamic and student-centric learning environment. LearnSphere evaluates student performance through assessments and categorizes learners into different proficiency levels such as Beginner, Intermediate, and Advanced. Based on the learner's performance, preferences, and interaction history, the system recommends customized study materials including notes, videos, and practice questions.