Game Recommendation System

This AI-powered recommendation engine is built to help gaming platforms enhance user engagement through intelligent personalisation. By analysing player behaviour, game content, and interaction patterns, the system can deliver suggestions that keep players discovering new content and returning to the platform. The solution is designed for deployment on AWS by using services such as Amazon SageMaker for machine learning model training and deployment, and AWS Glue and Lambda for data preparations. The architecture supports a wide range of use cases from cold start scenarios to churn risk mitigation. A modular approach helps with integration and supports continuous improvement.