🐶 UPDOG!
UPDOG! is a web-based computer vision application that identifies the breed of a dog in an uploaded photo.
This is our revalida for the Google Cloud Platform Developer Stint of the AC2E program.
Backend resources are currently deactivated.
💻 Contributors
- Kendrick Tan - AI/ML & Backend
- Faust Roxas - Architecture & Backend
- Xyza Rivera - Frontend & Design
🚀 Quick start
-
Create a Gatsby site.
Use the Gatsby CLI to create a new site, specifying this repository.
# create a new Gatsby site git clone git@github.com:xyzarivera/doggo-classifier-ui.git -
Start developing.
Navigate into your new site’s directory and start it up.
cd doggo-classifier-ui/ npm install package.json gatsby develop -
Open the source code and start editing!
Your site is now running at
http://localhost:8000!
🧐 What's inside?
GCP & Firebase
Application Frontend is deployed in Firebase Hosting, while Backend Services are deployed in the Google Cloud Platform.
GCP AutoML Vision
The Doggo AI classifier is trained using GCP's AutoML Vision with a dog breed dataset containing 9,229 labeled images.
GastbyJS
Application Frontend is built using GatsbyJS. It is a React-based, GraphQL powered, static site generator.