This research endeavours to develop an advanced model for predicting violent crime hot-spots by harnessing the power of machine learning techniques. The primary objective is to enhance public safety measures by identifying areas prone to violent criminal activities. The proposed model integrates a comprehensive set of spatial, temporal, and contextual features to discern intricate patterns on the violent crime dataset of Bostan between 2017 and 2022.