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A web application to recommend music to users based on machine learning algorithms such as item-based & user-based collaborative filtering and kNN.

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Music Recommender

Project Description:

This is going to be a web application made to recommend new music to users. This algorithm will constantly mine new music data including, Avg Rating, number of Ratings, and more. The stages of the project are below

Stage:

  1. Develope the crawler to get data. ✅
  2. Process, clean up, Normalize data.
  3. Plot and visulize data.
  4. Develope kNN to use data.
  5. Develope the user interface.
  6. Incorporate User log in and data base for each user.
  7. Implement User-based collaborative filtering.

Expected Completion Date: June 2022

Prototype done with Figma

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demo
prototype

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A web application to recommend music to users based on machine learning algorithms such as item-based & user-based collaborative filtering and kNN.

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