The purpose of this project is to deploy a deep learning model (the MNIST model) on Kubernetes using the Google Kubernetes Engine. I have created a Kubernetes cluster, assigned persistent volume claim (PVC) as storage for that cluster, and created different pods for performing training and inference on that model. Along with this, I have created a simple Flask application that performs inference on the model by taking an image as input from the user and returning the response to the user.
