Game Dynamic Difficulty Adjustment

This concept enhances game retention and player satisfaction by adapting game difficulty in real time or between sessions. The goal is to align challenge levels with player skill and behaviour. This keeps game sessions engaging without verwhelming or under-stimulating the player. This leads to longer session durations, increased return rates, and improved monetisation. This concept uses AWS-native services such as AWS SageMaker for model development, S3 and Glue for game data pipelines, and AWS Lambda for real-time inference. The concept supports both between-game and within-game difficulty adjustments. Both approaches are powered by predictive models that estimate churn risk or engagement trends and select optimal game configurations accordingly.