My project explores the personal connection between a DJ and their music, turning each set into a reflection of their unique sound. When a DJ performs, they share a vault of curated vibes, emotional moments, and resonant sounds with the world. Existing DJ software is efficient in storing and sorting a DJ's music but lacks the ability for DJs to gain insights from the data stored in their library, such as tempo, key, genre, and performance history. The goal of VibeVault is to transform the way DJ to visualize their music library, gaining valuable insight from their data —and translating them into a visual emotional journey through colors and emotions.

Using AI-driven data analysis, the project will identify patterns in a DJ's sets, uncover insights about personal style, and map the emotional arc of performances. By combining technical innovation with creative expression, VibeVault aims to empower DJs to define their sound and will serve as a tool for self-reflection and audience engagement.