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Graph-based multi-agent adaptive learning system that transforms engineering syllabi into Neo4j knowledge graphs and generates personalized learning paths using MSMS pathfinding and LLM-powered diagnosis.
An AI-driven adaptive learning platform that analyzes learner behavior and predicts learning styles to deliver personalized educational content using Machine Learning, NLP, and analytics.
AI-powered adaptive tutor using PPO reinforcement learning + DKVMN knowledge tracing to personalize learning paths in real time. Dynamically selects concepts per student's knowledge state. Built with React, Django, PyTorch & trained on 131M+ interactions.