Case Study: Mood Music supporting application for iOS
Mood Music is a mobile app making it possible to match listeners’ current mood with a song.
Business challenge
Before Mood Music, finding a track that matched a listener’s current mood meant manually scanning genre playlists and keyword searches – a slow, hit-or-miss process with no direct connection between emotional state and music selection. The Client needed a solution that read the listener’s mood automatically and delivered a matched track list in a single gesture.
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.
Before:
- Finding mood-appropriate tracks required manual genre browsing and keyword searches.
- Emotional state had no direct connection to music selection – listeners relied on guesswork and trial.
- Discovery was limited by a single search query, returning a narrow result set.
- Track details and purchase links were spread across separate apps and services.
After:
- Mood is captured automatically via a single selfie, cutting time to the first matched track by ~50% vs. manual browsing.
- Face detection maps the listener’s emotional state to a curated track list in seconds, removing the guesswork.
- Mood-tag browsing across numerous built-in dimensions expands track discovery by ~3x vs. single-keyword search.
- last.fm integration surfaces track details and direct iTunes and Apple Music purchase links in a single session.
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