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Etch

This is an app that accurately analyzes the language in a message you want to send and reveals the underlying emotions being communicated.

Technologies Used

  1. NodeJS, Javascript, JSON, JQuery, HTML, CSS, Bootstrap, API, NPM Packages (Axios, Bcrypt-nodejs, body-parser, connect-flash, connect-mongodb-session, cookie-parser, dotenv, ejs, express, express-ejs-layouts, express-session, method-override, mongoose, morgan, passport, passport-local, watson-developer-cloud)

User Stories

  1. As a user, I want to be able to create an account, log in and log out of my account.
  2. As a user, I want to be able to enter text (create an etch) and see what emotions it conveys and the general sentiment.
  3. As a user, I want to be able to have a profile page that lists my previous Etches.
  4. As a user, I want to be able to edit etches that I have created and have them re-analyzed.
  5. As a user, I want to be able to delete etches that I have created.
  6. As a user, I want my previous etches on my profile page to display a color based on the most dominant emotion.
  7. As a user, I want to see a bar graph showing the most prevalent emotions in my etch.

Approach Taken

  1. We wanted to create a project that was unique.
  2. We wanted to create an app that would be of benefit to a user.
  3. We wanted to ensure we had great open communication and we worked as a team.
  4. We wanted to ensure we collectively created an app that we were satisfied with and

Future work to be added:

  1. Add a chart in users profile that aggregates what emotions are most prevelant across all previous etches
  2. Add an email option to send messages directly from app.
  3. Add an option to send messagevto their social media or text message directly from app.
  4. Add feature for user to add image to go on Profile page.
  5. Display etch body as formatted rather than unformatted text on etch/show view.

Links

Trello

https://trello.com/b/WsvsAuMG

Etch App

https://etches.herokuapp.com/

Wireframe

Imgur

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Languages

  • HTML 50.3%
  • JavaScript 35.4%
  • CSS 14.3%