Muze is a fitness-focused mobile application that intelligently recommends music tracks based on the user’s heart rate, activity type, and tempo. Designed to keep workouts energized and immersive, the app syncs audio rhythms to users’ movements in real-time, enhancing motivation and endurance.
Deliver a seamless, intuitive music discovery experience tailored to physical activity.
Visualize real-time fitness data such as BPM, step cadence, and speed in a clear and engaging way.
Build a library of themed music stations for different workout moods (e.g., HIIT, Treadmill, Running).
Design a visually energetic interface that appeals to active users without overwhelming them.
Personalization through Data: The UI responds to live biometric inputs like heart rate and pace, instantly updating music recommendations.
Bold Visual Language: Used vibrant gradients, sharp contrasts, and dynamic shapes to reflect energy and movement.
Modular UI: Cards, playback controls, and tempo-match notifications are designed to be easily scannable during activity.
Dark Mode First: Prioritized a dark interface to reduce eye strain and emphasize high-contrast elements on the move.
Activity Detection: Automatically switches between running, hiking, treadmill, etc.
Tempo Sync Engine: Matches track BPM with steps per minute.
Real-time Heart Rate Feedback: Visual ring gauge and stat overlays.
Curated Music Stations: Personalized playlists for various fitness moods and genres.