Music apps make data fun! Building this teaches you OAuth authentication, API handling, advanced data visualization (tempo, genres, mood), and real-time analysis dashboards — critical for media and entertainment projects.
Let users analyze Spotify playlists by extracting track data, calculating top genres, identifying top artists, determining playlist mood, and visualizing audio features like energy, danceability, and tempo.
Get song details like title, artist, genre, mood (valence), tempo, and energy using Spotify Web API endpoints.
Show charts summarizing genres, top artists, mood distribution (happy/sad), and tempo range.
Classify playlists into categories like Chill, Party, Workout based on valence, energy, and tempo values.
Allow users to save their analysis reports or share them using a link.
Users input a Spotify playlist URL. The app authenticates using OAuth, fetches track metadata and audio features, analyzes the dataset, and presents interactive charts showing mood, genre breakdown, artist stats, and overall playlist dynamics.
Next.js, React.js, Tailwind CSS for stylish, interactive dashboard-like UIs
Spotify Web API for fetching playlists, track metadata, audio features (OAuth needed)
Chart.js, Recharts, or ApexCharts for displaying mood, genre, and artist stats visually
OAuth 2.0 Authentication flow with Spotify to access user's playlists securely
Create a Spotify Developer account, set up OAuth, and test fetching playlists with Postman or browser queries.
Input Spotify playlist URL → fetch track IDs → fetch track metadata and audio features for analysis.
Generate charts: top genres pie chart, top artists bar chart, mood distribution histogram, etc.
Enable users to save analyzed playlists, download mood reports, or share playlist insights.
Handle API rate limits, loading states, refresh tokens for long sessions, and deploy using Vercel or Netlify.
Build your Spotify Playlist Analyzer today — reveal hidden patterns, find your top genres, and analyze playlists like a pro with stunning visuals!
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