The traditional one-size-fits-all education model fails to accommodate diverse learning styles, leading to disengagement and knowledge gaps. This paper introduces an AI-powered Smart Tutoring System (STS) that delivers personalized learning experiences using Natural Language Processing (NLP), machine learning, and adaptive algorithms. STS monitors student progress, adjusts content delivery in real-time, and provides intelligent feedback. Our implementation using Python and educational datasets demonstrates how AI can enhance learning efficiency, improve engagement, and support differentiated instruction. The system also integrates blockchain for secure academic record management.
Smart Tutoring, AI in Education, NLP, Adaptive Learning, Python Automation, Personalized Learning, Blockchain in Edtech
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