Yue Hu, Xi Zhou and Minghao He ᱨᱮᱱᱟᱜ Virtu AI ᱴᱷᱭᱨ ᱡᱤᱱᱤᱥ ᱫᱚ ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2025 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱞᱚᱦᱟᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ· 2025
Virtu AI ᱴᱷᱭᱨ ᱡᱤᱱᱤᱥ
Yue Hu, Xi Zhou and Minghao He ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Virtu AI
ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#164673 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Virtu AI ᱴᱷᱭᱨ ᱡᱤᱱᱤᱥ ᱵᱟᱵᱚᱛ ᱛᱮ
Virtu AI ᱢᱮᱱᱟᱜ ᱠᱩᱞᱩᱭ ᱚᱠᱟᱛᱚ ᱰᱤᱡᱟᱭᱤᱱ ᱞᱟᱹᱜᱤᱛ ᱮᱠᱲᱟ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ ᱠᱟᱱᱟᱭ, ᱡᱟᱦᱟᱸ ᱠᱷᱚᱱ ᱦᱚᱲ ᱠᱚ ᱟᱠᱚᱨ ᱥᱟᱫ ᱞᱟᱹᱜᱤᱫ ᱠᱩᱞᱩᱭ ᱟᱹᱲᱟ ᱠᱚ ᱰᱤᱡᱟᱭᱤᱱ ᱫᱟᱲᱮᱭᱟᱜ ᱠᱚᱣᱟᱭ ᱾ ᱦᱚᱲ ᱠᱚ ᱢᱤᱫ ᱠᱚᱲᱟᱸ ᱠᱟᱛᱷᱟ ᱨᱮ ᱟᱨᱦᱚᱸ ᱮᱠᱟᱱ ᱵᱟᱵᱚᱛ ᱚᱞᱟᱦ ᱠᱚᱣᱟᱭ, ᱟᱨ ᱠᱨᱤᱛᱨᱭᱢ ᱵᱩᱫᱷᱤ (AI) ᱮᱠᱟᱱ ᱞᱮᱠᱟ ᱠᱩᱞᱩᱭ ᱥᱟᱫ ᱛᱮᱭᱟᱨ ᱚᱲᱟᱜ ᱦᱮᱡ ᱠᱚᱣᱟᱭ ᱾ ᱠᱚᱢᱯᱭᱩᱴᱚᱨ ᱩᱠᱟᱢ-ᱟᱠᱟᱪ ᱴᱩᱠᱩᱨ ᱡᱩᱲᱟᱣ (segmentation) ᱠᱩᱞᱩᱭ ᱨᱮᱭᱟᱜ ᱢᱤᱫ-ᱢᱤᱫ ᱛᱚᱠᱚ ᱠᱚ ᱴᱷᱮᱴᱟ ᱴᱷᱮᱴᱟ ᱠᱚ ᱦᱮᱡᱟᱭ, ᱚᱱᱟ ᱞᱟᱹᱜᱤᱫ ᱜᱮᱞ ᱢᱤᱫ ᱠᱩᱞᱩᱭ ᱟᱠᱚᱨ ᱛᱚᱠᱚ (ten nails) ᱦᱚᱸ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱦᱟᱦᱟᱲᱟᱣ ᱠᱟᱛᱮ ᱢᱮᱱᱟᱜ ᱨᱚᱸ ᱠᱚ ᱥᱟᱶᱛᱮ ᱡᱩᱲᱟᱣ ᱮᱢ ᱠᱚᱣᱟᱭ ᱾ ᱚᱱᱟ ᱛᱟᱭᱚᱢ ᱛᱮᱭᱟᱨ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱠᱟᱹᱢᱤ ᱡᱟᱱᱟ ᱫᱚᱦᱚᱭ ᱠᱟᱨᱤᱜᱚᱨ ᱠᱚᱠᱩᱨ ᱠᱩᱞ ᱦᱟᱛᱟᱣ ᱠᱚᱣᱟᱭ, ᱚᱠᱟ ᱠᱚ ᱛᱮᱭᱟᱨ ᱠᱟᱛᱮ ᱠᱩᱞᱩᱭ ᱥᱟᱫ ᱠᱚ ᱠᱩᱞᱤ ᱮᱢ ᱠᱚᱣᱟᱭ ᱾ ᱡᱩᱲᱟᱣ (navigation) ᱞᱮᱠᱟᱛᱮ ᱥᱚᱝᱜᱮᱞ ᱫᱚᱦᱚ ᱦᱟᱛᱟᱣ ᱠᱟᱱᱟ, ᱵᱟᱝ ᱛᱮᱠᱱᱤᱠᱟᱞ ᱡᱟᱱᱟᱢ ᱢᱮᱱᱟᱜ ᱦᱚᱲ ᱠᱚ ᱦᱚᱸ ᱟᱡ ᱠᱩᱞᱩᱭ ᱠᱟᱞᱟ ᱛᱮᱭᱟᱨ ᱫᱟᱲᱮᱭᱟᱜ ᱠᱚᱣᱟᱭ ᱟᱨ ᱟᱢᱟᱜ ᱟᱹᱲᱟ ᱠᱚ ᱫᱟᱲᱮᱭᱟᱜ ᱡᱚᱢ ᱜᱚᱲᱚ ᱨᱮᱭᱟᱜ ᱡᱤᱱᱤᱥ ᱞᱮᱠᱟ ᱵᱚᱫᱚᱞ ᱠᱚᱣᱟᱭ ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Virtu AI ᱴᱷᱭᱨ ᱡᱤᱱᱤᱥ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Virtu AI ᱴᱷᱭᱨ ᱡᱤᱱᱤᱥ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- Virtu AI is a web platform that empowers fashion enthusiasts to design personalized press on nails using AI, turning digital concepts into tangible objects for self expression. By blending AI models with artisanal craftsmanship, it redefines nail art through a creative and customized experience. The platform is designed to support users with intuitive navigation, fosters their creativity and ideation, and enables high-quality refinement, transforming their ideas into reality.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- The project is a web app that utilizes a pipeline of cutting-edge technology. Image generation interaction is powered by Matter.js, a 2D physics engine that provides real-time tactile feedback and playful interaction. The nail set designs are generated using the DALL·E API, creating personalized designs based on user specifications. For nail matching, the app leverages advanced computer vision segmentation technology, accurately segmenting each individual nail from the original image to ensure precise customization and a seamless user experience.
- ᱴᱮᱜ ᱠᱚ
- press-on nails, e-commerce, generative AI, nail art, online shopping, creative, fashion
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- Virtu AI's design process combined AI integration, UX/UI principles, and personalized fashion solutions. Figma was used for the design framework, while DALL·E powered the image generation. Matters.js was utilized to implement the interactive design interface. The nail matching system incorporated advanced segmentation algorithms in computer vision to ensure precise customization. A/B testing, user interviews, and data-driven insights were pivotal in shaping the final design, optimizing both usability and creativity for a superior user experience.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- The hardest part of the Virtu AI project was balancing cutting-edge AI with a user-friendly experience. A key challenge was making complex AI image generation feel intuitive for users without technical backgrounds. Overcoming this required multiple iterations, user feedback, and creative testing. We faced technological limitations in real-time segmentation and production feasibility while ensuring compliance with data privacy laws. Combining AI innovation with artisanal craftsmanship also added logistical complexities in aligning production timelines.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- The research behind Virtu AI focused on enhancing user experience and AI integration. The primary goal was to simplify AI-driven nail design while empowering user creativity. A mixed-methods approach was used, combining user interviews, A/B testing, and usability studies. Data was collected through surveys, website traffic analysis, and interaction analytics, with over 30 participants testing different iterations. Results showed a strong preference for intuitive design and personalized options, which led to better navigation, improved accessibility, and increased creativity. This research has enhanced inclusivity and revolutionized AI-based customization in fashion.
- ᱯᱨᱮᱨᱚᱱᱟ
- The inspiration for this project stemmed from a desire to merge AI with personal expression in a creative and meaningful way. By leveraging advanced image generation and segmentation technologies, we sought to transform the traditional, mass-produced press on nail industry into a highly personalized experience. Our aim was to empower users to showcase their individuality while offering skilled artisans a global platform. Transforming creativity into tangible wearables.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- The project began in April 2024 in California, USA, with the development of the first iteration (v0). After first round of user feedbacks, V1 was implemented and launched in June 2024. The current version, designed in July 2024, builds on insights from the previous versions and incorporates findings from extensive user studies.
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- Virtu AI's user experience begins with a clear and engaging landing page that builds trust and motivates users to design custom nail art. With a simple, structured sentence and interactive visuals, users can easily create their own nails without complex interfaces. The app then generates and segments each nail tip, allowing users to design a set of 10 single nails, with options to match their design with pre-existing colors. Once finalized, Virtu AI connects the design with skilled artisans who craft and ship the personalized press-on nails, ensuring a cohesive and unique style for each user.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Yue Hu - UX/UI Designer
Xi Zhou - UX/UI Designer
Heidi Minghao He - Creative Technologist - ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ
- All materials credit to Xi Zhou, Yue Hu and Heidi He
ᱥᱯᱚᱱᱥᱚᱨᱰ
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ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
