Skip to content

BondFire - Online social network that connects graduates to fellow graduates and recruiters

Notifications You must be signed in to change notification settings

acrobat130/Greenfield

 
 

Repository files navigation

BondFire

BondFire is an online social network that connects graduates of software engineering immersive programs with fellow graduates and recruiters.

Team

  • Product Owner: Kristina McElveen
  • Scrum Master: Shanna Sullivan
  • Development Team Members: Kristina McElveen, Darryl Nunn, Bosa Omoregie, Shanna Sullivan

Table of Contents

  1. Usage
  2. Requirements
  3. Development
    1. Installing Dependencies
    2. Tasks
  4. Team
  5. Contributing

Usage

To view this app, navigate to BondFire's website To view this repository on your local machine,

  1. Fork and clone this repository.
  2. In your terminal, navigate to the client directory and type bower install to install bower dependencies. If bower is not already installed, type sudo npm install -g bower then bower install.
  3. In your terminal, navigate to the app directory and type python -m SimpleHTTPServer.
  4. In your browser, navigate to localhost:8000.

Development

We implemented the following features during BondFires's development:

  • Interactive map that shows locations of graduates from software engineering immersive programs
  • Listings for each location that shows the profiles of graduates in that area
  • Ability for new graduates to add themselves to the map and database
  • Ability for users to add a blog posting to the blog section
  • Toy problem of the day with a sandbox for users to code the solution

BondFire uses the following techcnologies:

  • Angular
  • jQLite
  • Github API
  • Firebase

Contributing

See CONTRIBUTING.md for contribution guidelines.

About

BondFire - Online social network that connects graduates to fellow graduates and recruiters

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • JavaScript 79.8%
  • HTML 16.4%
  • CSS 3.8%