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We were inspired by the pizza parlour theme and how mood detection sounds a lot like food detection at 3 am.
What it does
Semantic analysis with GCP and Twilio for a very quick mood detection to figure out what food might be the best for you in that moment, and then we use azure mood detection for a more in depth analysis of facial cues to more accurate food detection.
How we built it
We have two separate and equally important parts, one using twilio's and gcp's semantic analysis for a quick text and recommendation and places to eat that are in your area. The second part, is that we wrote a UiPath Script that automates a process of putting a picture into an azure site and getting the mood of the picture.
Challenges we ran into
UiPath doesn't run on Mac, Azure was buggy for a bit
Accomplishments that we're proud of
We all learned a lot and it was our first time in our respective roles, whether that being competing for the first time, using gcp, using azure, twilio, flask, uipath, etc. We completed a miminum viable product (MVP).
What we learned
GCP, Azure, UiPath, basics of Web Dev
What's next for SmartJeff
Sleep, and then a nap. Integration of Azure via API calls or UiPath Robots