MusicDEV

Final Year Project - Spotify Recommendation and Continuation System.

The purpose

I have created MusicDEV for the sole purpose of finding new ways to explore and discover new music. I myself have a terrible taste in music and sometimes have a habbit of listening to the same music each day everyday when I program. Since I listen to music while I program, I do not really get the time to explore new music.

Required files

You are required to have a secretKeys.json within the 'helpers/' directory. Contents of secretkeys.json:

• Spotify Api:
  • Client ID
  • Client Secret
  • Spotify Callback
  • More information about the Spotify API can be found here: https://developer.spotify.com/documentation/web-api/
• Push bullet API:
  • Api key
  • More information about the Pushbullet API can be found here: https://docs.pushbullet.com/

You are also required to collect your own data. The data required for step 3 is however accessible for use (a list of playlist URI's with the correct classification of genre).

Data music be store in '/helpers/Data' folder.

Required services

Databases:

• MongoDB - Sudo apt-get install mongo
• Neo4J - Can be downloaded here: https://neo4j.com/download-center/#releases
  • ./[main directory]/bin/neo4j start - to start the services (if you're developing then I recommend using ./[main directory]/bin/neo4j console).

How to setup

1. npm install - Installing the required packages from package.json
2. cd helpers/musicTool - Directing to the setup tool.
3. node app.js learn initial - Initialising, formatting and storing the master music data Please see 'Required files' /data directory for the neccessary files
4. node app.js cut [int max of 100] - Creating your training and testing sample data, for the genre data classification.
5. node app.js train - Classifying genres for the collected music data from Step 3.

• 5.1 node app.js sample - After training the program, you can view the accuracy of the genre classication using your testing samples Step 4.

6. node app.js build - Builds the collected music (with the new genre) to a graphical database Neo4j.
7. cd ../../ - Returning to the main directory.
8. To run the application:

• 8.1. npm run dev - Dev mode for windows.
• 8.2. npm run devmode - Dev mode for Linux
• 8.3. npm run devstart - Dev mode only running server.js (without building) for Linux/Windows
• 8.4. npm run start - Run server for Linux / Windows
• 8.5 cd ./helpers/blacklistManager and node app.js - Running the blacklist manager services

Future plans

• Open the program to more music platforms, e.g YouTube music etc...
• Improve on the accuracy of the genre classification.
• Improve the performance and response time.
• Improve the user interface for a more confortable feeling while using the program.