Case Study: Mood Music: mood-supporting application for iOS
Mood Music is a mobile app making it possible to match listeners’ current mood with a song.
Business challenge
The initial goal was to create an application allowing users to discover new music based on their current mood.
Our solution
Following the Scrum methodology, we designed the application with the following working principle: a user makes a selfie, presses the search button and the app finds a number of tracks which correspond to the mood on the photo.
Our features
Mood Music is an iOS app making it possible to match your current mood with a song.
Product features
User may find even more similar songs according to numerous built-in mood tags.
Used multiple backend services
The integration with last.fm API makes it possible to find the info about this particular track and purchase it on iTunes or Apple Music.
Distinctive features
- contains a face pre-detection to avoid sending empty images to the server;
- provides dynamic background colors for albums.
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