Code Monkey home page Code Monkey logo

coffeeburst's Introduction

Overview

Visit the live app at https://coffeeburst.herokuapp.com/

Coffeeburst is for people who want to deepen their appreciation for coffee by becoming more knowledgable tasters. It's difficult to track what coffee you enjoy most and why. Beyond just simple light, medium or dark roasts, what regions do you prefer? Roasters? Flavor profiles?

Coffeeburst will allow coffee enthusiasts to learn more about what they're drinking, track favorites, and quiz themselves about attributes of the coffee - flavors, body, and how to describe it - to become better tasters.

Currently users can:

  • Add a coffee
  • Search for coffees
  • View details about a coffee
  • Add an attribute profile, including flavor notes, body, and description

In the future users will be able to:

  • Image upload for adding a coffee
  • Track favorites
  • Take coffee quizzes
  • View visualizations for understanding tasting ability and/or preferences

Getting started

After you fork, download or clone the repo locally, run the following commands to install dependencies:

bundle install
yarn install

Then run the following commands to build the database:

rake db:create
rake db:migrate
rake db:seed

Finally, boot up the project by running the following commands in two terminal tabs run:

rails s
yarn start

Now you can open your browser and view the app in development at https://localhost:3000/

Usage

Search For a Coffee

On the homepage, enter terms based on a coffee into a React search bar. Search by coffee name, roaster, roast level (light, medium, dark) or country of origin.

Click to view more details.

Add an Attribute Profile

From a coffee's show page, click to add an attribute profile for a coffee. If not signed in, do so or create an account before being redirected the new attribute profile page.

Select at least 3 flavors based on taste, choose a description for the body and a more general description for the coffee. Click to save the profile.

More information

The following technologies were used to build Coffeeburst:

  • Ruby/Rails
  • JavaScript/React
  • PostgreSQL
  • react-vis (by Uber)
  • Webpacker

Special thanks to mistobox.com for imagery to seed the app

coffeeburst's People

Contributors

sbaron24 avatar

Stargazers

avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.