Azure AI document intelligences for a sample project, what next after trained the custom model?

Hello,

I am currently working on a sample project involving Azure AI Document Intelligence for extracting specific data from PDF files. I am using the custom extraction model feature and have trained the model with a dataset containing documents of various structures from different makers. After testing the model, I obtained results, but I am unsure about the next steps to take with these results.

As this is a sample project, I would like to visualize the results to make them more attractive and comprehensible, especially for individuals who are not familiar with AI tools. Ideally, I want to demonstrate the process step-by-step using Jupyter Notebook. This will help show how the model works with sample documents, highlighting its efficiency and potential real-world applications.

The goal of this project is to implement AI technology to automate the extraction and comparison of essential data from documents against manual booklets. By leveraging Azure AI Document Intelligence, we aim to improve the approval process, reduce manual effort, and enhance accuracy.

Could you provide suggestions on how to proceed with visualizing the results in Jupyter Notebook, and how to effectively demonstrate the capabilities of the model on a stand-alone PC (without relying on cloud or production environments)?

Thank you so much.
BR, SS