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A music application that uses the Spotify API and a machine learning algorithm on the backend to create a playlist of recommended songs depending on the users input.

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mmubuso/SpotifyRecommender

 
 

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Spotify Recommender

Overview

The goal of this project was to create a full stack spotify application tht could reccomend songs to users based on 10 categoiries of loudness, energy, danceability, loudness, mode, speechiness, acousticness, instrumentalness, liveness, valence, tempo.

Challenges

  • Storing the user access and passing it through props to the necessary components

Technologies Used

  • Backend --> Express, Mongoose, NodeJs, TensorFlow
  • Frontend --> Bootstrap 4, JavaScript, React.js, Spotify APi

Acknowledgements

-CSS Tricks for the fad in animation

Contributers

https://github.com/KPPhiri

Future Developments/Improvements

Phase 2

  • Create a music player that the end user can use.

About

A music application that uses the Spotify API and a machine learning algorithm on the backend to create a playlist of recommended songs depending on the users input.

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  • JavaScript 85.2%
  • CSS 8.8%
  • Shell 3.4%
  • HTML 2.6%