Discover new friends with shared music tastes, explore exciting events, and connect with a vibrant community.
Matchify uses music data from Spotify to connect users, recommend events, and facilitate messaging and social interactions.
Frontend Repository
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Matchify Early Version
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View Demo
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Request Feature
Users start with a Welcome Screen introducing Matchify's features, then proceed to Sign Up by entering personal details. Next, they connect their Spotify account to personalize recommendations. Users complete their profile by adding location, a profile picture, and a bio. Finally, they receive confirmation of their account creation and are directed to the main Feed.
A personalized feed with tailored music recommendations, friend activity, and shared playlists. Discover nearby music events and stay updated on what your friends are listening to and doing.
View/edit your profile with favorite songs, playlists, and music tastes. Share Spotify stats and feature your "Matchify playlist" for others to explore and get recommendations.
Manage friend requests and view friend lists. Explore "Matchify Suggestions" to find and connect with recommended friends based on your music preferences.
Stay connected with friends through group and individual chats. Share music, playlists, and event details directly in conversations, and enjoy seamless communication within the app.
Andy Ren (1172097) - Frontend/Backend Developer
Calvin Liew (Calvin-Liew) - UI/UX Designer
Dmitrii Vlasov (Endlesssuply) - Backend Developer
Frank Peng (Graves451) - Frontend/Backend/Database Developer
Michael Pan (Yaymichael) - Backend Developer
Richard Chen (Riixardo) - Frontend/Backend/Database Developer
Wonjae (Samuel) Lee (Sam-Wonjae-Lee) - Frontend/Backend Developer
Yehyun Lee (YehyunLee) - Frontend/Backend Developer
For more questions or information about the project, please consult:
Wonjae (Samuel) Lee - wonjaesamuel.lee@mail.utoronto.ca