Deploying ML Web App on GKE-Autopilot

This project shows how to deploy a machine learning web application on Google Kubernetes Engine (GKE) Autopilot.

Project Pre-requisites:

1. Google Cloud Account.
2. Enabled Billing.

Project Tasks:

1. Introduction.
2. Setting-up Environment.
3. Running Streamlit Web App.
4. Creating Docker-Image in Google Container Registry.
5. Creating GKE-Autopilot Cluster.
6. Creating Deployment.
7. Exposing Service.
8. Testing the Web Application.
9. Deleting the Project.

Dataset Used:

• stanford_dogs from tensorflow datasets. link