Building the loan authentication solution

In the previous section, we introduced the loan application approval use case, covered the architecture of the solution we will be building, and briefly walked through the solution components and workflow steps. In this section, we will get right down to action and start executing the tasks to build our solution. But first, there are pre-requisites we will have to take care of.

Setting up to solve the use case

If you have not done so in the previous chapters, you will first have to create a Jupyter notebook and set up Identity and Access Management (IAM) permissions for that notebook role to access the AWS services we will use in this notebook. After that, you will need to clone the GitHub repository (https://github.com/PacktPublishing/Natural-Language-Processing-with-AWS-AI-Services), create an Amazon S3 bucket (https://aws.amazon.com/s3/), and provide the bucket name in the notebook to start execution. Please follow the next steps...