Full-stack Machine Learning Model Deployment

Full-stack web application for Machine Learning predictions. All analytics and content were a collaborative process.

The back-end consists of a FastAPI application deployed in AWS Lambda, as well as a PostgreSQL database hosted in AWS RDS.

The front-end consists of HTML, Bootstrap, and JavaScript. The later used for fetching data from the back-end and enabling interactivity.