he Oblivion Sentinel Engine is an autonomous anomaly detection framework for time series data. It combines a **Predictive Random Quantification Engine** with an **Informational Anomaly Quantifier** to detect structural anomalies that are invisible to simple threshold-based methods.

Digital platforms today need more than static dashboards, they require adaptive systems that continuously learn from user activity. This project develops a behavioural intelligence framework that dynamically groups interaction patterns, surfaces critical risk indicators, and enables strategic actions to influence experience outcomes.