🐶 BORK!

BORK! 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.

💻 Contributors

• Kendrick Tan - AI/ML & Backend
• Faust Roxas - Architecture & Backend
• Xyza Rivera - Frontend & Design

🚀 Quick start

1. Create a Gatsby site.

   Use the Gatsby CLI to create a new site, specifying this repository.

   # create a new Gatsby site
   gatsby new doggo-classifier-ui https://github.com/xyzarivera/doggo-classifier-ui

2. Start developing.

   Navigate into your new site’s directory and start it up.

   cd doggo-classifier-ui/
   npm install package.json
   gatsby develop

3. Open the source code and start editing!

   Your site is now running at http://localhost:8000!

   Note: You'll also see a second link: http://localhost:8000/___graphql. This is a tool you can use to experiment with querying your data. Learn more about using this tool in the Gatsby tutorial.

🧐 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.