PURPOSE
Thesis
TYPE
Mobile Application
DATE & YEAR
Dec 6, 2024
Elixir: A Personalized Color Palette Analyzer using Image Processing
About
A cutting-edge personalized color palette analyzer that leverages advanced image processing techniques to provide individuals with tailored style recommendations. By utilizing algorithms like the Viola-Jones for rapid face detection and the Face Parsing Network (FPN) for detailed facial segmentation, Elixir ensures precision in analyzing facial features and skin tones. These algorithms, along with the CIEDE2000 color distance formula, allow Elixir to accurately match users' skin tones to a Seasonal Color Tone, providing personalized recommendations for makeup, clothing, and hair. Its primary goal is to assist fashion enthusiasts, makeup lovers, and anyone interested in enhancing their personal style by addressing color preferences and cohesive wardrobe choices. This innovative app is beneficial to its users due to its accuracy, ease of use, and ability to deliver a truly customized style experience, making it a valuable tool in the ever-evolving fashion industry.
Tools & Languages
Java
Python
Android Studio
Visual Code Studio
©2024 Bajaro, Clarisse Alyssa M, Rosendo, Janna Rane C, Vicio, Shahani Fe D. All Rights Reserved