A simple song recommender

A song recommender that takes in data from Spotify API and displays various aspects in a dashboard. I wanted to explore how recommender systems work and use Python based tools for development since its the go to language for most Data Science projects.

• View the webapp here

Sulify is a dash app. The structure is as follows:

- app.py
   |-- audio features
   |-- recommender

The audio features tab is meant to explore a single song's features. A user searches for a song and selects the specific song and artist from the dropdowm menu and gets to see a preview of the song, audio features displayed as numbers and displayed as graphs.

The recommender tab is meant to make requests to a model hosted as an API. The response is a list of ten songs that the user can preview and also view a graph of similarity scores.

User searches for a song and either gets a summary of all audio features or a recommendation of similar songs all displayed in a visually pleasing manner.

All this is made possible through Dash. Dash has two main parts:

• Layout - the HTML and DCC components that design the static webpage
• Callbacks - Inputs and Outputs that define how the webpage becomes dynamic

• A Spotify free account which will give you access to an API key

          git clone https://github.com/Joy879/Sulify
          pip install -r requirements.txt
  

This project is licensed under the MIT License - see the LICENSE file for details.

I am looking forward to collecting more data to make the recommender model more accurate and faster. This project is my own way of exploring various strategies of implementing content-based recommender systems. The accuracy vs speed tradeoff is definitely an issue i'd like to dive deeper into even as I learn how to optimize the app to work with larger datasets. I would also like to allow a user to login to spotify from the app and be able to save the recommended songs into a playlist. If you have any ideas or suggestions or contributions feel free to reach out to me via mail 📧

I am a data science enthusiast and a software engineering graduate from ALX and I love working with Python especially because of it's vast pool of libraries for scientific computing