Intelligent Educational Resource Recommendation Engine

Build a machine learning-powered recommendation system that suggests personalized educational resources based on complex student learning profiles. Implement collaborative filtering and content-based recommendation algorithms that consider factors like learning style, academic performance, interests, and prior knowledge. Design a scalable backend capable of processing diverse educational content types and providing real-time, contextually relevant suggestions.