It is a prototype of application that predicts if you have a heart disease. It is based on RandomForest and LogisticRegression models. The RandomForest model predicts well about 86% of the time and the LogisticRegression model predicts well about 91% of the time, but it returns only binary values. However, the RandomForest returns probability of you having a Heart Disease, so I used both of them to give user more confidence of the prediction being right. Data used for learning is from kaggle.com, and it contains over 300000 entries.
Link to dataset: https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease