Over the course of three weeks, I and two classmates worked on a project focused on exploring music streaming apps and understanding what is currently available on the market. The goal was to analyze different platforms, identify their strengths and weaknesses, and find opportunities for improvement. After reviewing several options, we decided to focus on Spotify as our base and develop a new feature that enhances the user experience.

The feature we designed centers around mood and vibe selection. Instead of users having to search manually for songs, artists, or playlists, they can simply choose one or multiple moods that match how they feel—such as relaxed, energetic, focused, or happy. Based on these selections, the app generates a set of personalized playlists tailored specifically to the user’s current state.

This idea aims to make discovering new music faster and more intuitive. Many users spend unnecessary time scrolling or searching for something that fits their mood, which can interrupt the listening experience. By allowing instant access to curated playlists that match how someone feels in the moment, the feature removes friction and makes music more accessible.

Overall, the project was about improving efficiency and personalization in music streaming. The proposed feature helps users connect with music more naturally, making it easier to both discover new tracks and immediately enjoy music that fits their mood.