Music Discovery Web Application

Project Title: Music Discovery Web Application

Project Description:
The project aims to create a web application that integrates with popular music streaming services, such as Spotify and Apple Music, and allows users to discover new artists and songs based on various criteria, such as genre, mood, and popularity. The application will provide a personalized and intuitive user experience, where users can easily navigate and explore new music based on their interests and preferences.

Key Features:

  1. Integration with popular music streaming services: The application will integrate with popular music streaming services, such as Spotify and Apple Music, to access their music catalog and recommendations.

  2. Personalized music discovery: The application will allow users to discover new music based on their preferences and interests. Users can browse music by genre, mood, and popularity, and the application will recommend music based on their listening history and behavior.

  3. Intuitive user interface: The application will have a user-friendly interface that is easy to navigate and use. The design will be aesthetically pleasing and modern, with a focus on simplicity and functionality.

  4. Music player and playlist creation: The application will have a built-in music player that allows users to stream music directly from the platform. Users can also create and save their playlists, and the application will recommend new songs to add to their playlist based on their listening history and behavior.

  5. Social sharing: The application will allow users to share their favorite songs and playlists with their friends on social media platforms such as Facebook and Twitter.

Technology Stack:

  • Front-end: ReactJS, HTML, CSS, Bootstrap
  • Back-end: Node.js, Express
  • Database: MongoDB
  • Music streaming API: Spotify, Apple Music

Project Timeline:

  1. Project planning and requirements gathering: 2 weeks
  2. Design and development of the user interface: 4 weeks
  3. Integration with music streaming services: 2 weeks
  4. Implementation of personalized music discovery: 4 weeks
  5. Development of music player and playlist creation: 3 weeks
  6. Social sharing implementation: 1 week
  7. Testing and deployment: 2 weeks

Expected Outcome:
The Music Discovery Web Application aims to provide users with a personalized and intuitive music discovery experience. The application will integrate with popular music streaming services, provide music recommendations based on various criteria, and allow users to create and save their playlists. The outcome of the project will be a functional and user-friendly web application that is easy to use and has the potential to become a popular music discovery platform.

Hi,

It’s too late for GSoC 2023; See the timeline.

For GSoC 2024, this project doesn’t mention anything from MetaBrainz, so maybe read how to get started at first. Most of the proposed features are in ListenBrainz already or in progress. Even the stack is close, so I encourage you to look further into it. See its homepage and documentation.

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