Christine & Ryan - Exploring Google Cloud Vision AI & Machine Learning Products


Details
Presentation Overview:
Explore application development with Google Cloud Vision API, which can categorize photos, detect objects, identify landmarks, and extract corporate logos from images. From there, the sky's the limit with exploring the detected labels. We'll check out different photo-sharing accounts, and see what we can know about them all through their photos. This will use Google Cloud Platform, Ruby, with JSON formatted labels that are translated into a tag cloud with what activities are being displayed through the images and shows a cross-section of different technologies.
About Christine Seeman:
Christine is from Omaha where she works as a full-stack Ruby/Rails engineer at Flywheel, WordPress hosting for creatives. She has 12 years of experience as a Java software engineer with a focus on APIs and micro-services and took the plunge into Ruby/Rails last year. In her spare time, she is an avid reader, a mega-fan of Rush and is attempting to work through the primary Ashtanga yoga series.
About Ryan Hochstetler:
Platform Engineer
Ryan is a beer brewing, woodcutting, beard growing, software crafting, father of three. He enjoys long bike rides with his family and keeping up with the current tax laws. He has aspirations of someday building a company of his own, but in the meantime, he’s content drinking a cold brew and helping people and Midwest companies be awesome.

Christine & Ryan - Exploring Google Cloud Vision AI & Machine Learning Products