COGNIKA AI PEER TUTOR

The rapid growth of digital education has increased the demand for personalized and adaptive learning solutions.Traditional e-learning platforms often lack real-time interaction, peer-level explanation, and individualized feedback, which are critical for effective knowledge acquisition.This research presents Cognika AI Peer Tutor, an intelligent AI-based tutoring system designed to function as a virtual peer that assists learners through personalized explanations, adaptive questioning, and real-time feedback.The system leverages natural language processing, machine learning, and conversational AI techniques to understand learner queries, assess knowledge gaps, and provide context-aware responses.Cognika AI Peer Tutor dynamically adapts its teaching strategy based on learner performance, learning pace, and interaction history.The proposed system supports multiple subjects, promotes self-paced learning, and enhances conceptual understanding by simulating peer-topeer learning.Experimental evaluation demonstrates improved learner engagement, higher retention rates, and consistent performance across diverse learning scenarios, validating the effectiveness of the proposed AI tutoring framework. I.