Develop an AI-powered recommendation system that personalizes content for users based on their behavior and preferences. The system should be scalable, handle a large user base, and provide real-time recommendations.

Requirements:

1. Implement machine learning algorithms to analyze user data and predict preferences.
2. Design a scalable database architecture to store user profiles and interaction logs.
3. Develop a real-time processing engine to serve personalized content recommendations.
4. Ensure privacy and security of user data through encryption and secure data handling practices.
5. Integrate the recommendation system with an existing platform or service.
6. Provide an analytics dashboard to track system performance and user engagement.