A deep learning music platform

• Create backend dataflow to pull mp3 and metadata from spotify api to a local dir
• Run data collection on enough playlists to gather ~10k songs
• Convert all mp3s into spectograms and save them locally
• Train a deep convolutional autoencoder on spectograms to generate ml encodings
• Store encodings and metadata in DB (SQL/SPARK/etc.)
• Run basic clustering on only spotify metadata
• Run clustering on only spectograms and combined to see best results

• TBD

Current backend environment setup

pip install spotipy
pip install keras
pip install tensorflow

python3 data_collection.py

TBD

• Ritwik Biswas

• Trever Cullen

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