The image illustrates a workflow diagram for deploying a machine learning model using various technologies. At the base of the workflow is 'Model', symbolized by an AI chip icon, representing the developed machine learning model. Above this, 'TensorFlow' is depicted, an open-source software library used for machine learning applications. Alongside TensorFlow, 'Docker' is shown, indicating containerization of the TensorFlow model for deployment. These elements together are labeled 'Tensorflow Serving', suggesting this is the model serving setup. The central element is 'Server', marked with the Django (stylized as 'dj') logo, implying that Django is the web framework managing the server-side operations. To the right of the server, the process is depicted as a cycle involving a 'User' who submits 'news data' to a 'Website', receives a 'Result', and this interaction is facilitated by API calls that send 'Request' to the server and receive a 'Response'. The icons and arrows effectively communicate the flow of data and interaction between the user, the web interface, the server, and the machine learning model in a deployment scenario.
