MLOps Pipeline Deployment

Project

VIEW DEPLOYED APP

This project demonstrates a MLOps pipeline for deploying a machine learning model into a production-ready web application. The goal is to help an insurance company forecast patient charges using input like age, BMI, and smoking status.

The solution includes:

  • A machine learning model trained to predict insurance charges
  • A Flask back-end to serve predictions
  • A HTML / CSS front-end for user input
  • Containerization with Docker
  • Cloud deployment on Microsoft Azure
  • A CI/CD pipeline with Github Actions

Code