According to the World Health Organization (WHO), heart stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths. This kaggle dataset is used to predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status. Each row in the data provides relevant information about the patient.
The aim of this project is to develop a vanilla front-end/UI web application for our ML model using StreamLit.io platform, which is an open-source app framework for creating beautiful data apps. The app is served on streamlit here.