Dreame AirStyle Pro Hl APP

Amid the wave of intelligent advancements in personal care devices, the Dreame Airstyle Pro HI APP is newly integrated with the NS01 curling iron, establishing an all-in-one service model—from hair recognition and style recommendation to operation guidance and result evaluation—through seamless hardware-software coordination, thereby delivering a salon-grade styling experience at home.
The APP pioneers a personalized "Hair Profile" system, offering customized hairstyle recommendations tailored to individual users. Through AI visual recognition and data modeling, it automatically generates a user profile, including core information such as hair length, texture, curvature, face shape, and hair color, providing strong data support for personalized hair styles. Based on the hair profile, the APP pushes personalized styling solutions in a "2+1" card format: the first two cards showcase tailored recommendations that precisely match user needs; the additional card displays further styling options to satisfy the desire for exploring diverse styles. Users can effortlessly switch between options with a simple swipe to the left or right.
The APP incorporates both automatic and manual curling modes with real-time device synchronization. In automatic mode, the system matches preset parameters based on the hair profile, along with two automated curling logics to accommodate different curling rhythms. The manual mode is ideal for professional stylists, aiding in precise and long-term styling management.
The APP adopts a clear visual layout with a user-friendly interaction design. The interface utilizes cards to display styling recommendations, enhanced by dynamic video and step-by-step GIF instructions, effectively reducing cognitive load. Features such as multi-state device icons, real-time countdowns, and progress visualization make complex information easy to understand. Moreover, the unique layered user permissions and temporary guest modes ensure privacy protection while enabling convenient sharing among multiple users.