The Music Library project transforms personal Apple Music data into an expressive visual narrative, blending generative design with storytelling. By converting music listening habits from a CSV file into animated visuals, the project illustrates the emotional complexity behind the data. Each song is represented as an animated particle, with its size and movement reflecting the play duration, creating a dynamic and evolving image of the music history. The integration of song lyrics adds emotional context, connecting the abstract visuals to personal experiences and deeper reflection.

How does this music data relate to my self-conception?

The music data reflects my emotional landscape and personal identity, capturing how my listening habits shape and mirror my experiences, moods, and memories.

Music possesses a distinctive capacity to express emotions that can be challenging to articulate. The genres I am drawn to reflect various aspects of my personality. This interplay of musical styles highlights the complexity of my emotions, enabling me to navigate both the highs and lows of my experiences.