Problem
People can capture a color visually but still need help naming it, matching it, and understanding useful context.
A private-source experiment around scanning real-world colors, matching them to a structured palette, and explaining the result with AI.
People can capture a color visually but still need help naming it, matching it, and understanding useful context.
The prototype combined mobile-first capture, a seeded color database, and AI-generated explanations.
The build remains a private reference for future product and UX experiments.