Hands-On Python Deep Learning for the Web

A sample end-to-end AI-integrated web application

Now that we have discussed an overview and the pitfalls to avoid when creating an AI-powered website backend, let's move on to creating one—albeit a rather simple one—that demonstrates the general overview of the solution.

We will cover the following steps, as stated previously:

• The collection of data as per the problem statement
• Cleaning and preprocessing the data
• Building the AI model
• Creating an interface
• Using the AI model on the interface

While we have previously discussed the pitfalls of collecting the data, we will briefly discuss here the tools and methods that can be employed to complete the task.