The goal of this research project is to use a supervised machine learning model to predict the early detection of Covid-19 patients' outcomes based on their disease features. The analysis is using supervised machine learning model such as Naïve Bayes, Logistic Regression, Decision Tree, and SVM. This Covid-19 dataset was collected from patients who tested positive for Covid-19 at Stony Brook University