AI-ENABLED SALON & SPA BOOKING SYSTEM WITH VIRTUAL HAIRSTYLE VISUALIZATION USING FACIAL LANDMARK DETECTION

Abstract

The beauty and wellness industry has experienced significant growth in recent years due to increasing interest in personal grooming, appearance enhancement, and self-care. Services such as hairstyling, skincare treatments, and spa therapies play an important role in improving both physical appearance and individual confidence. However, customers frequently experience uncertainty while choosing hairstyles because the final result cannot be visualized before the service is performed. Traditional salon consultations rely mainly on verbal suggestions from stylists or static hairstyle images, which often results in trial-and-error decisions and dissatisfaction.
This research proposes an AI-enabled salon and spa booking system that integrates virtual hairstyle visualization with digital service management. The platform allows users to upload a facial image or use a live camera to preview different hairstyles before selecting a service. Facial landmark detection is performed using the MediaPipe Face Mesh framework, which accurately identifies facial geometry and aligns hairstyle templates with the user’s face. This enables realistic hairstyle previews and supports informed decision-making.