In this project, I as part of a cloud computing team at Duke University, implemented a machine learning pipeline that trains a model and provides predictions about the risk of having a heart attack. We then deployed the model using Streamlit. The application’s end point is running on Google App Engine and can be accessed through a public url. We also show how our applications performance scale-up when it receives 1K+ requests via a load test with Locust framework. To view the complete code, the front end repository is found here and the model is found in this repository.
