The goal of this project is to build a salary prediction model, encapsulate it in a Docker container, and set up a continuous integration and deployment (CI/CD) pipeline using Google Cloud Build and Google Cloud Deploy. This setup ensures that the model is automatically built, tested, and deployed to a Kubernetes cluster whenever changes are made.

This project sets up a CI/CD pipeline to automate the build, test, and deployment of two Flask applications to Google Kubernetes Engine (GKE). Using Google Cloud Build, Cloud Deploy, and Skaffold, the pipeline deploys to a development cluster first, then promotes to production upon approval, all triggered by code pushes to GitHub.

This repo is basically about different labs and tasks performed during HCCDA-TechEssentials program