Machine learning is permeating mobile and web app development. To create modern, interactive apps that can evolve over time, it's a good idea to learn how to build and use machine learning models. What better way to super-charge an App than to integrate some AI? I'll step you through how to build a web app, embed an ML model that is trained using the Custom Vision AI service to tell if the furry animals living in your house are Shihtzu or Ewoks. In this talk I'll share my experience of building a progressive web app, integrating ML and adding in a bit of Continuous Integration/Continuous Delivery (CI/CD) to push updates to GitHub. By the end of the session you should be able to build your own app [Note: There will be gratuitous puppy and Ewok pictures throughout].
You can play with the App here: https://aka.ms/ewok
You can find the code here: https://aka.ms/GitHubEwok
You can find the deck with the side-by-side code comparison: https://aka.ms/PWAChange
Demo of the Custom Vision + ML here: https://youtu.be/_S5rYsLMd2s
Demo of the push from VSCode to GitHub and Azure: https://youtu.be/J9nyKkN6sWk
You can find a LiveCode video here: https://youtu.be/ZaV6tGFNL8g
Technorama BE was not recorded