Skip to content

devcbr69/qeagdse

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

CloudBucket

by Sahat Yalkabov and Emily Boden

CloudBucket allows you to upload various files and it then tags it automatically based on the filetype. For instance music files will be automatically tagged with lyrics, keywords, similar artists, album cover. Text documents, on the other hand, will have different tags associated with each file - keywords, entities, concepts. Videos and photos are tagged as well using other techniques.

Insert screenshot here

Features

  • 1GB of free storage
  • Cross-platform - works on iOS, Android and Desktop
  • Semantic search
  • Face recognition
  • Text content analysis

Dependencies

Frontend

  • jQuery
  • Bootstrap
  • Magnific Popup
  • Ladda
  • Vex.js
  • iScroll
  • Entypo Icons
  • iDangero.us Swiper
  • animate.css
  • jquery-easy-pie-chart
  • swipe.js
  • jquery.tagsinput
  • humane.js
  • fastclick.js
  • jquery.knob
  • jquery.raty
  • jquery.transit
  • hammer.js
  • Grunt.js
  • Bower

Backend

  • Node.js
  • Python 2.7
  • Express.js
  • async
  • AWS SDK
  • connect-flash
  • connect-mongo
  • Case
  • email.js
  • epub-parser
  • filesize
  • fluent-ffmpeg
  • Dropbox
  • musicmetadata
  • Mongoose
  • passport
  • request
  • restler
  • underscore
  • underscore.string

API Services

  • Google OAuth 2.0
  • Last.fm
  • Musixmatch
  • Google Books API
  • Alchemy API
  • SkyBiometry

Downloading

Clone the repository using Git:

git@github.com:sahat/cloudbucket.git

Running Locally

The only requirements are Node.js >= 0.10 and Python 2.7. Locate the directory that you just cloned and then run:

npm install package.json
node app.js

MongoDB and Amazon S3 configuration is already pre-configured to use production servers.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • JavaScript 41.5%
  • HTML 29.7%
  • CSS 28.8%