Chanel Touch, when the face becomes the interface
Design of a virtual makeup mobile application powered by machine learning, turning the face into a fully interactive interface. The project introduces a new interaction paradigm where gestures performed directly on the face replace traditional navigation patterns, enabling more intuitive, immersive, and personalized beauty experiences.
A beauty app powered by facial and gesture recognition, enabling users to virtually apply makeup.
The project involved training the model through repeated facial actions, annotating successful and unsuccessful gestures, and defining key facial zones: eyelids, eyes, and lips, to enable intuitive makeup interactions through simple hand and face movements. Powered by Mediapipe, landmarks detection, and hand tracking.
Combining virtual try-on, facial interaction, personalized services, and editorial content.
CHANEL TOUCH was designed as an immersive beauty companion combining virtual try-on, facial navigation, personalized services, and editorial content within a single experience. Through gesture recognition and facial interaction, users could explore makeup, skincare, and fragrance collections, try on CHANEL creations virtually, discover exclusive looks from the Makeup Creation Studio, follow expert tutorials, save favorite products, and seamlessly access personalized recommendations and services.
Designing bespoke UI components aligned with CHANEL’s visual language across platforms
