Feels: Translating Your Spotify Soundtrack into Real Outdoor Places with Local AI and SerpApi
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built Like many developers, I spend hours locked in a sensory bubble at my desk with noise-canceling headphones on, cycling through music while deep in code. Over time, I noticed something undeniable about my daily Spotify queue: my listening history serves as an unfiltered mirror of my mental state and…
This article details a web application called Feels that interprets your recent Spotify listening session and translates it into real-world outdoor destinations. The application uses an open-weight model running locally on your hardware to analyze your recent tracks, looking at tempo, energy density, and emotional cadence. These attributes are then used to find three verified outdoor spots that match your current mood, such as elevated ridgeline trails, shaded forest loops, or tranquil lakeside parks.
The app enforces a 15 refreshes per day limit and provides Google Maps directions to each destination. The goal is to help users step away from their desks and reconnect with nature based on their emotional state.
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