This project aims to address the growing prevalence of cardiovascular disease (CVD) in Bangladesh by developing a machine learning (ML)-based risk profiling system to predict myocardial infarction (MI) and stroke risks. Using demographic, behavioral, physiological, and clinical data, a comprehensive dataset will be created to train an ML algorithm for early CVD risk prediction. This system will act as a digital healthcare assistant, offering individuals personalized risk assessments and alerting them to potential health risks.