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Matchify is a group project for CSC207: Software Design at the University of Toronto. Matchify matches Spotify users based on their music taste.

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CSC207 Project Matchify Group 52

Project Goal

Our team's goal is to develop a program that matches Spotify users based on their music taste. This is achieved by analyzing songs from the users' playlists and determine their music taste. Based on the similarity of the music tastes, we will determine to match the users. Our implementation involves using the Spotify Web API and following Clean Architecture and Solid Principles.

Members:
Wonjae Lee - Sam-Wonjae-Lee (Wonjae Lee)
Andy Ren - 1172097
David Li - dvdli123 (Jiaming Li)
Michael Pan - Yaymichael
Frank Peng - Graves451 (Frank Peng)

Google Doc Notes

Google Slides Presentation

Spotify Web API

The Spotify Web API provides a variety of ways for developers to interact with Spotify's streaming service, like receiving information about users, playlists, and artists. Our group uses the API to retrieve the music taste of users using their Spotify user ID.
This is process for our implementation: Retrieve user ID -> Get user's playlist IDs -> Get artist IDs from playlist ID -> Get genres from artist ID
We use the genres from each user to determine if they match based on the similarities.

For more information about the Spotify API, please visit source and Java Wrapper source


How To Get Spotify User ID


UI Preview

User Login

login

Matching For Friends

open match

Adding Friends

add friend

Open Inbox

open_inbox

Accept Friend Request

accept friend request

Decline Friend Request

decline friend request

Credits

App

  • HomePageFactory, MatchFactory by Andy Ren
  • LoginUseCaseFactory by Wonjae Lee
  • Main by Michael Pan

Data Access Object

  • FileUserDAO by Frank Peng
  • InMemoryUserDAO by David Li
  • SpotifyApiCallAccessTokenDAO, SpotifyApiCallArtistGenresDAO, SpotifyApiCallGetInfoDAO, SpotifyApiCallPlaylistItemsDAO, SpotifyApiCallUserPlaylistDAO, SpotifyApiCallUserProfileDAO by Wonjae Lee

Entity

  • CommonUserFactory, UserFactory, User by David Li
  • Inbox, FriendsList, Playlist by Frank Peng
  • CommonUser by Andy Ren

Interface Adapter

Accept Invite:

  • AcceptController, AcceptPresenter by Michael Pan

Decline Invite:

  • DeclineController, DeclinePresenter by Michael Pan

Home Page:

  • HomePageController, HomePagePresenter, HomePageState, HomePageViewModel by Andy Ren

Inbox:

  • InboxState, InboxViewModel by David Li

Login:

  • LoginController, LoginPresenter, LoginState, LoginViewModel by Wonjae Lee

Match:

  • MatchController, MatchPresenter, MatchState, MatchViewModel by Andy Ren

Open Inbox:

  • OpenInboxController, OpenInboxPresenter by David Li

Send Invite:

  • SendInviteController, SendInvitePresenter by David Li

View:

  • ViewManagerModel by David Li
  • ViewModel by Andy Ren

Use Case

Accept Invite:

  • AcceptInputBoundary, AcceptInputData, AcceptInteractor, AcceptOutputBoundary, AcceptOutputData, AcceptUserDataAccessInterface by Michael Pan

Decline Invite:

  • DeclineInputBoundary, DeclineInputData, DeclineInteractor, DeclineOutputBoundary, DeclineOutputData, DeclineUserDataAccessInterface by Michael Pan

Home Page:

  • HomePageInputBoundary, HomePageInputData, HomePageInteractor, HomePageOutputBoundary, HomePageOutputData by Andy Ren

Login:

  • LoginInputBoundary, LoginInputData, LoginInteractor, LoginOutputBoundary, LoginOutputData, LoginUserDataAccessInterface by Wonjae Lee

Match:

  • MatchInputBoundary, MatchInputData, MatchInteractor, MatchOutputBoundary, MatchOutputData, MatchUserDataAccessInterface by Frank Peng

Open Inbox:

  • OpenInboxInputBoundary, OpenInboxInputData, OpenInboxInteractor, OpenInboxOutputBoundary, OpenInboxOutputData, OpenInboxUserDataAccessInterface by David Li

Send Invite:

  • SendInviteInputBoundary, SendInviteInputData, SendInviteInteractor, SendInviteOutputBoundary, SendInviteOutputData, SendInviteUserDataAccessInterface by David Li

View

  • HomePageView, MatchView, ProfilePic by Andy Ren
  • InboxView by Michael Pan
  • LabelTextPanel, LoginView by Wonjae Lee
  • ViewManager by David Li

About

Matchify is a group project for CSC207: Software Design at the University of Toronto. Matchify matches Spotify users based on their music taste.

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