Hi Bubblers!
I’ve just uploaded our first video tutorial! It walks through the process of creating a machine learning-powered Bubble app. The app (just a mock up, really) allows a user to upload a photo and receive back a count of the number of cats in the photo. (with minimal changes, you can get lots of other data out, as well).
The video is here: https://youtu.be/63XAZfruLJY
The app uses Bubble for the front-end, and AWS services (Rekognition, Lambda, and API Gateway) for the back-end. If you’ve never used Bubble with AWS before, I hope it can serve as an intro to how to get the two ecosystems working together.
The tutorial is pitched at intermediate users, but I tried to make it as accessible as possible.
Please check it out and let me know what you think! We’re planning to do a series of these, with a few other AWS Machine Learning APIs, so if you’re interested, let me know which APIs you’re most interested in.
Thanks for reading, and I hope this is helpful for some folks!
Cheers,
Korey
