Melodify - Spotify Listening Data Visualization
Melodify - Spotify Listening Data Visualization
Melodify - Spotify Listening Data Visualization
Product Designer and Full-Stack Developer
Product Designer and Full-Stack Developer
Product Designer and Full-Stack Developer
TIMELINE
February 2024 - May 2024
SKILLS
Product Design
UI/UX Design
Data Visualization
Branding
Frontend Development
Backend Development
APIs
Tools
Figma
HTML/CSS
Javascript
Spotify API
TIMELINE
February 2024 - May 2024
SKILLS
Product Design
UI/UX Design
Data Visualization
Branding
Frontend Development
Backend Development
APIs
Tools
Figma
HTML/CSS
Javascript
Spotify API
TIMELINE
February 2024 - May 2024
SKILLS
Product Design
UI/UX Design
Data Visualization
Branding
Frontend Development
Backend Development
APIs
Tools
Figma
HTML/CSS
Javascript
Spotify API
Product Summary
Product Summary
Product Summary
Melodify is a Spotify listening data visualization platform that provides curated displays and analysis of your music trends.
The product was created for my course ACAD 280: Designing for Digital Experiences.
Melodify is a Spotify listening data visualization platform that provides curated displays and analysis of your music trends.
The product was created for my course ACAD 280: Designing for Digital Experiences.
Melodify is a Spotify listening data visualization platform that provides curated displays and analysis of your music trends.
The product was created for my course ACAD 280: Designing for Digital Experiences.
THE PROBLEM
THE PROBLEM
THE PROBLEM
Spotify users want to view their extended listening data beyond what the Spotify provides
Spotify users want to view their extended listening data beyond what the Spotify provides
Spotify users want to view their extended listening data beyond what the Spotify provides
While Spotify Wrapped and other services like Last.fm exist, Spotify users can't view fully their extended listening data in a centralized location. Wrapped is time constrained and other platforms don't analyze the full listening history relying on AI to fill in the gaps.
While Spotify Wrapped and other services like Last.fm exist, Spotify users can't view fully their extended listening data in a centralized location. Wrapped is time constrained and other platforms don't analyze the full listening history relying on AI to fill in the gaps.
PRODUCT OVERVIEW
PRODUCT OVERVIEW
PRODUCT OVERVIEW
Simplify Thousands of Hours of Listening
Users can view all of their Spotify listening data at a glance (1 month or 6 months, too).
Users can view all of their Spotify listening data at a glance (1 month or 6 months, too).
Users can view all of their Spotify listening data at a glance (1 month or 6 months, too).
Filter, Sort, Pick, and Choose Your Data
Utilizing the Spotify API, sort and filter your listening history by song title, artist, album, genre, and more.
Utilizing the Spotify API, sort and filter your listening history by song title, artist, album, genre, and more.
Utilizing the Spotify API, sort and filter your listening history by song title, artist, album, genre, and more.
Unique Track Insights
Get a better picture (or listen) of your top tracks. How much time have you spent listening to this track? How many streams? What time of day?
Get a better picture (or listen) of your top tracks. How much time have you spent listening to this track? How many streams? What time of day?
Get a better picture (or listen) of your top tracks. How much time have you spent listening to this track? How many streams? What time of day?
View Your Way
Choose from one of our three viewing options: Grid, exhibiting album art front and center; List, giving you the rundown of who and what; and Bubble, visualize your listening time for each track.
Choose from one of our three viewing options: Grid, exhibiting album art front and center; List, giving you the rundown of who and what; and Bubble, visualize your listening time for each track.
Choose from one of our three viewing options: Grid, exhibiting album art front and center; List, giving you the rundown of who and what; and Bubble, visualize your listening time for each track.