Music Palette Analyzer: Turning Music into Colors

The Music Palette Analyzer is a web-based application that explores the relationship between music and visual color composition by analyzing album cover artwork. The system allows users to search for an artist or album and retrieves the corresponding official album artwork through the Spotify Web API. The retrieved image is processed using image processing and computer vision techniques, while K-Means clustering groups similar RGB pixels to identify dominant colors. The extracted colors are converted into hexadecimal color codes and presented as an interactive visual palette together with color percentages. The system also provides a visual mood interpretation using categories such as calm, energetic, warm, dark, and vibrant. The project combines web development, API integration, image processing, machine learning, and interactive visualization to provide an accessible way to study the visual identity of music albums