Spotify - Create Playlist Anomaly Detector

[FlorentLvr]

Authentication:
Since we are dealing with user-specific data, we need to use SpotifyOAuth to authenticate.

Data Retrieval:
Use Spotipy and your playlist ID to fetch playlist tracks.
playlist_id = 'YOUR_PLAYLIST_ID'
results = sp.playlist_tracks(playlist_id)
tracks = results['items']

Feature Extraction:
Extract relevant features from the playlist data. In this case, we want to extract name, artist and danceability.

Anomaly Detection Algorithm
Use anomaly detection algorithm such as One-Class SVM to detect anomalies.

Threshold Setting:
Set appropriate thresholds for anomaly detection. This involves determining what level of deviation from normal behavior should be considered an anomaly.

Alerting Mechanism:
Let user know of the anomalies.
if anomalies > threshold: alert_user("Anomaly detected in your playlist!")

Visualization:
Create visualizations through time series graphs to help users understand the detected anomalies.
plot_anomalies(features, anomalies)

[FlorentLvr]

Won't do