This mobile-first application was designed to help users explore and understand the science of color through AI-assisted analysis, interactive style quizzes, and curated palette recommendations. Tailored for everyday users, designers, and stylists, the app empowers people to identify colors that match their skin tone, personality, and seasonal style. Built in FlutterFlow and published on the Google Play Store, the app blends design, color psychology, and interactivity in a high-quality mobile experience.

Guided assessment engine with conditional logic and personalized result mapping

Smooth mobile UX tailored to both Android and iOS interactions

Auto-generates seasonal profiles like “True Summer” or “Soft Autumn” with suggested swatches

Includes professional styling tips and visual examples

Saved locally for continued access and wardrobe planning

CMS logic built into FlutterFlow allows non-technical users to update palettes, styling tips, and expert bios

Content changes reflect instantly without requiring code changes or re-publishing

Full design fidelity achieved from Framer with custom styling and visual polish

Implemented layered backgrounds, custom typography, icon sets, and subtle animations to elevate the visual experience

Native-feeling transitions enhance mobile immersion

Lazy loading, conditional rendering, and asset optimization reduced load times

Tuned specifically for Android performance via FlutterFlow settings and caching strategies

Frontend: FlutterFlow

Backend: Firebase / CMS structure for dynamic content

Design: Framer → FlutterFlow translation with pixel-level precision

Personal use for color-based fashion and styling guidance

Stylists, designers, and content creators using palette matching for clients

Seasonal wardrobe planning based on skin tone and color psychology

Mobile-first education and discovery for beauty, color, and fashion enthusiasts

The app launched successfully on the Google Play Store and quickly attracted positive feedback for its ease of use and visual quality. Users were impressed by the personalized results and accurate color matching. With a scalable CMS and smooth onboarding flow, the app has laid the foundation for future iOS release and additional AI features.