Intelligent Learning Path Recommendation Engine

Develop a sophisticated recommendation system that dynamically generates personalized learning paths for students based on their academic profile, learning style, career goals, and historical performance data. Utilize collaborative filtering, content-based recommendation algorithms, and deep learning techniques to create adaptive learning trajectories. Implement a modular recommendation framework that integrates multiple machine learning models and provides real-time learning suggestions.