Introducing a Innovative Mood-Based Playlist Generator Powered by Gemini and Spotify

Ever wished for an intuitive way to find the perfect playlist that matches your current feelings? I recently developed a web application that transforms your natural language mood descriptions into personalized Spotify playlists, making music discovery more effortless and emotionally resonant.

What the App Does

Simply type in a mood phrase—be it “motivated for the gym,” “relaxed and nostalgic,” or anything in between—and the app intelligently interprets your emotional state to generate a curated playlist on Spotify. The results have been surprisingly accurate in understanding more abstract or nuanced feelings, enhancing user experience significantly.

Key Technologies Behind the Project

• Next.js 14: The core framework for building a fast, scalable web interface.
• Gemini API: Employed for deep mood analysis and intelligent song selection, allowing the system to grasp subtle emotional nuances.
• Spotify Web API: Facilitates seamless playlist generation and integration with Spotify’s vast music library.
• Tailwind CSS & Custom Variables: Used for sleek, customizable styling that adapts to user themes effortlessly.
• Deployment: Hosted on Vercel for reliable and scalable access.

I invite you to explore this innovative mood-to-music experience at https://beats-on-feels.vercel.app/. Whether you’re seeking motivation, nostalgia, or something entirely unique, this tool aims to make your music discovery more emotionally attuned and enjoyable.

Feel free to try it out and share your thoughts—I’m excited to see how it resonates with different moods!