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SoundTrack 🎵🗺️

Inspiration

We've all had that moment—walking through a city or driving with the windows down—when a song hits just right, and you instantly associate it with that time and place. But later, when you try to recall what song it was or where you were, it's a blur. SoundTrack was built to capture those moments. It saves your Spotify listening history along with your location, so your music becomes a living map of memories. Whether you're reliving a summer trip or just want to know what your “sad playlist” was on a rainy Tuesday night, SoundTrack has you covered.

What it does

SoundTrack is a location-aware Spotify desktop player that:

Maps your music: Every song you listen to gets logged with geolocation and pinned on an interactive map.
Rewind Recap: Generates a personalized “Spotify Rewind” with your top songs, artists, and albums. You can upload custom media to enhance the nostalgia.
Music Roast: Uses ChatGPT to generate a hilarious roast of your music taste.
Multimedia Playlists: Add photos and videos that play alongside songs, bringing your playlists to life.
Full Player Interface: Built-in playback controls and song browsing, all within the app.

How we built it

We used a wide range of tools, libraries, and APIs to bring SoundTrack to life:

🧠 Backend & Logic

spotipy: For Spotify API integration (authentication, track history, playback, etc.)
sqlite3: Lightweight local database to store listening data and location pins.
geocoder: To fetch real-time location when a song plays.
folium: To build interactive maps that display listening history.
openai (via custom module Roast_test.py): To generate witty, AI-powered music roasts using ChatGPT.

🖥️ GUI & UX

tkinter: For the desktop user interface (cross-platform and simple to deploy).
tooltip.py: Custom module to add helpful tooltips to UI elements.
PIL (Pillow) + requests + BytesIO: To load, process, and display album art and user-uploaded images.
threading + time: For smooth background polling and async UI updates.

📦 Modules

Roast_test.py: Handles API calls to ChatGPT for generating roast content.
rewing.py: Aggregates play history and builds Spotify Rewind summaries.
tooltip.py: Adds hover-based tooltips to the interface.

Challenges we ran into

Integrating Spotify’s playback SDK with a desktop GUI required a lot of trial and error.
Handling geolocation reliably across different devices and locations while protecting user privacy.
Making sure all data (songs, locations, images) sync correctly in real-time.
Keeping the UI responsive while polling Spotify’s API in the background.
Prompt engineering to make the ChatGPT roast feature consistently funny and relevant.

Accomplishments that we're proud of

Creating a fully functional multimedia Spotify player from scratch.
Visualizing listening history in a way that's both personal and nostalgic.
Seamless integration of music, maps, and memories.
Building an AI roast generator that actually makes people laugh—and sometimes cry.
Keeping the app lightweight, local, and privacy-respecting.

What we learned

How to integrate multiple APIs and libraries cohesively.
Using OpenAI's ChatGPT for creative features like roasts.
How to manage media and location data effectively in a music app.
Designing a fun yet functional user interface with tkinter.
Just how emotional and powerful music memories can be when they're captured visually.

What's next for SoundTrack

Launching a mobile version for on-the-go location tagging and memory logging.
Adding collaborative memory maps so friends can share music memories.
Smarter AI recaps: ChatGPT-generated stories or summaries of your listening year.
Offline mode for capturing data without a connection, then syncing later.
Public playlists with memory overlays—like interactive audio diaries.