Adaptive Assessment Generator with Machine Learning

Build a sophisticated Python-based adaptive assessment generation system using machine learning techniques. The system should dynamically generate quiz questions based on individual student performance, difficulty calibration, and knowledge gap identification. Implement a recommendation algorithm that adjusts question complexity in real-time, tracks student learning progress, and provides personalized learning paths. Use libraries like TensorFlow for adaptive learning models and create a comprehensive reporting mechanism.