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CV Disease Detection Using Pretrained Model YOLO V5- This project predicts the risk of cardiovascular disease using machine learning models trained on patient health data. It includes data preprocessing, EDA, feature selection, model training, and deployment through a Streamlit app for real-time risk prediction.