Interactive Learning Path Recommendation Engine

Build a graph database solution using Neo4j and Python that dynamically generates personalized learning paths based on complex skill dependencies and individual learning profiles. Create an intelligent recommendation system that can map intricate skill relationships, track learning progression, and suggest optimal learning trajectories with less than 10% recommendation error rate.