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Lune x Spotify - A Mood Based Music Recommendation System

An emotion based music (Spotify) recommendation system to influence mood

Roles: User Experience Researcher, Interaction Designer, Software Developer, Creative Technologist.

Timeline: 2 months (2020)

Tools: Python, Speech Processing, IBM Tone Analyzer, Natural Language Processing, Spotify’s API

Team: I worked by myself on this project, for a Capita Selecta course.

Project Report: Lune - Creating an Emotion Based Music Recommendation System to Affect Mood

Lune is an interactive system that listens to how you feel, and recommends music from Spotify to soothe your emotions

Lune is an interactive system that listens to how you feel, and recommends music from Spotify to soothe your emotions

and positively influence your mood in any given moment. It is intended to be installed in home speakers.

The experience starts off with Lune asking the user how they feel in that moment, and then Lune recommends music based on how the user responds to the question, and the emotions they have expressed.

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To learn more about Lune and the details on how it works, take a look at the project report here -

To learn more about Lune and the details on how it works, take a look at the project report here -