Who are AWS Innovators?
Are you solving unique problems using AWS tools?
S1, E1: Kim & Tom Erik
S1, E2: Chris and The Poopinator
S1, E3: Gus & Yumi
Agustinus “Gus” Nalwan used machine learning to help his wife, Yumi, a fashion student, catalogue her wardrobe, take into account weather variables, and what she’d recently worn, to choose the perfect outfit for her day.
S1, E4: Izzy
Starting at age 4, Izzy has partnered with their father and mentor, Todd, to work on go-karts. Now, Todd and Izzy upped the ante: to try and make an autonomous go-kart.
S1, E5: Talha, Shehroz, Talha, and Dawood
Long-time friends Talha, Shehroz, Talha, and Dawood turned a university hackathon project into a 3D avatar that can speak and understand ASL. The four friends and their mentor, Nidal, have made their project open source to see where they can take it next.
S1, E6: Martin
Searching for a humane way to scare mice out of his kitchen, Martin Paradesi modified an autonomous DeepRacer model car, and its open source code, to come up with a RoboCat that could scare mice away in the dark.
How Machine Learning Kept Out the Cat
Ben's cat kept waking him up in the middle of the night with a mouthful of prey. So Ben decided to do something about it using SageMaker and DeepLens.
Have you used AWS tools to build a solution you couldn’t find? If so, tell us about it—you might just be the next person featured in our AWS Innovators series. Go ahead, show the world what you've created.