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Tangent

GA WDI NYC Jan 14, Project 2

Overview

Tangent is a web application that takes users on a journey of discovery through chosen words and their assoiations. Tangent was developed as a Rails project for the January 2014 Web Development Immersive course at General Assembly. It was developed over a one week sprint to model the agile software development process.

Technologies Used:

User Stories Completed:

  • A user can view a saved journey visualization from first search to final search
  • A user can get a description of the topic
  • A registered user has a profile page with account information and journeys listed
  • A user can create an account
  • A user can log in/log out securely
  • A registered user can delete a journey from a journey list
  • A registered user can view a list of all journies
  • A user can go to the home page and search
  • A user can enter a term and see related topics
  • A user can see the names of other topics branched out from the first topic
  • A user can click on any word/topic on the tree and it will re-visualize it as the main word
  • A user can get statistical information about a topic
  • A user can click explore
  • A user can save their "journey"
  • A user can get any relevant video about the topic
  • A registered user can end one journey and create a new journey at any time
  • A registered user can view a bar graph visualization with each topic of the journey on it, and how long the user spent on the topic
  • A user can end the journey at any time by clicking the journey end button

ERD (https://github.com/shawnbro/quick_shark/blob/master/app/assets/images/TangentERD.jpg)

A link to tangent can be found here: (https://tangentapp.herokuapp.com)

The public repository for Tangent on Github can be found here: (https://github.com/shawnbro/quick_shark/blob/master/app/assets/images/TangentERD.jpg)

A full list of user stories can be found by looking at this Pivotal Tracker Project


Written by Rory Budnick, Shawn Broukhim, Kirsten Doyne, Cory Haber, Quincy Iheme, and Kevin McAlear

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WDI NYC Project 2

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  • CSS 43.1%
  • JavaScript 24.6%
  • HTML 18.8%
  • Ruby 13.5%