alexstudio3 / song_recommendation_engine

Song Recommendation Engine

Presentation and overview:

PPT slides: https://drive.google.com/file/d/1kzed-7Tl8qdhcbUxfMVeKcQHy_k6Ul0u/view?usp=sharing

Recording of presentation of project (including demo): https://drive.google.com/file/d/1OqalHPTDYaWkRXamURQvsC9rwGMYIiFE/view?usp=sharing

Instructions:

Detailed in case-study-gnod.

Summary: build a song recommendation engine using Billboard 100 songs and recommend users songs based on their input songs.

Plan and approach:

Detailed in presentation slides and recording.

Jupyter notebook:

spotify_song_prediction.ipynb - first part exports a dataset csv which are the top songs, this is to be done at regular intervals (e.g. weekly). Second part is for modelling and user interaction. Run last cell to enter user input.

Instructions to run project:

Open spotify_song_prediction.ipynb and run all cells to start, where you will be prompted to enter user input. To enter a new user input song, run last cell again.

Skills developed

• Web scrapping
• K means clustering based on song features obtained through API.