My Android Showcase

Android

MusicRecog

(August 2016)

• An Android app that recognizes music and determines a song’s complexity using machine learning
• Used Gracenote’s Android sdk for music recognition and Spotify’s web API and ChartLyrics for song information
• Determined a song’s complexity based on a machine algorithm trained with data collected from MusicBrainz and Spotify
• Improves user experience by including widget support to display a list of recognized songs
• API is implemented using Flask and deployed to Heroku
• Technologies Used: Gracenote, AdMob, Google Identity, Scikit-Learn, Flask-RESTPlus
• (Download Link)

 

 

Football Scores

(January 2016)

• An app that tracks current and future football matches with collect widget support. (Github)

Alexandria

(January 2016)

• An app for book listing with barcode scanning ability.(Github)
• Barcode library: zbar 1.8.2

Cardboard

(December 2015)

• An app for viewing 3D images, videos and panorama images using Google Cardboard.
• Implemented a simple PhotoSphere using gyroscope sensors for viewing panorama images.
• Implementation is detailed in this blog post: link
• Github
• Please also refer to the Matlab section below

HKTrafficMap

(November 2015)

• An app showing traffic images provided the HK Government using Google Map API with Text-to-speech support
• Github

PopularMovies

(October 2015)

• An app for discovering the most popular movies playing with responsive UI.
• Implemented a database for offline viewing and storing user favorites and history.
• Github
  
  
  

Sunshine

(October 2015 - January 2016)

• An app I created by following along the Udacity course: Developing Android Fundamentals
• Github