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In an era where effective solutions in conflict zones are critical, outdated assessment methods are proving inadequate. This presentation introduces a novel AI-driven approach, leveraging a Hybrid Machine Learning Framework that integrates XGBoost and K-Means along with SMOTE and SHAP techniques. Utilizing a unique dataset from Marib, our solution achieves high prediction accuracy and offers a cost-effective model suitable for prison management. Looking ahead, we envision expanding this...