Adaptive Curriculum Recommendation Engine

Create a Flask-based recommendation system that suggests personalized learning paths for students based on their previous academic performance, learning style, and subject mastery. Implement a collaborative filtering algorithm using pandas that can handle sparse academic achievement matrices, with built-in privacy controls and anonymization techniques. The system should generate JSON-based recommendations with confidence scores and learning trajectory predictions.