Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ by Meiqi Zhao is a highly esteemed winner of the very prestigious 2026 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ in ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ Competition Category.
ᱠᱟᱥᱟᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ· 2026
Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ
by Meiqi Zhao
Client: NomNow
A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ Winner in ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ Category
- 13,563
- Verified Award Winner
- Verify Award Status for #171063
The Design
About Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ
ᱱᱚᱢᱱᱟᱣ (NomNow) ᱫᱚ ᱢᱚᱵᱟᱭᱤᱞ ᱟᱨ ᱰᱮᱥᱠᱴᱚᱯ ᱡᱤᱱᱤᱥ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫᱴᱟᱹᱝ ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱟᱲᱟᱝ, ᱪᱤᱛᱟᱹᱨ ᱟᱨ ᱚᱞ ᱤᱱᱯᱩᱴ ᱦᱟᱛᱟᱣᱟ, ᱚᱱᱟᱛᱮ ᱡᱟᱦᱟᱸ ᱚᱵᱚᱥᱛᱟ ᱨᱮ ᱡᱮᱢᱟᱜ ᱠᱚ ᱡᱟᱦᱟᱸ ᱞᱮᱠᱟᱛᱮ ᱥᱩᱜᱩᱲ ᱛᱟᱦᱮᱸᱱᱟ ᱚᱱᱟ ᱞᱮᱠᱟᱛᱮᱜᱮ ᱚᱞ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ᱾ ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ (AI) ᱡᱚᱢᱟᱜ ᱮ ᱩᱨᱩᱢᱟ ᱟᱨ ᱯᱩᱥᱴᱤ ᱢᱩᱞ ᱠᱚ ᱮ ᱞᱮᱠᱷᱟᱭᱟ, ᱡᱟᱦᱟᱸ ᱛᱮ ᱛᱤ ᱛᱮ ᱥᱮᱸᱫᱽᱨᱟ ᱟᱨ ᱯᱷᱚᱨᱢ ᱯᱮᱨᱮᱡ ᱫᱚ ᱵᱟᱝ ᱞᱟᱹᱠᱛᱤᱭᱟ᱾ ᱥᱠᱨᱤᱱ ᱠᱚ ᱨᱮ ᱫᱤᱱᱟᱹᱢ ᱠᱮᱞᱚᱨᱤ ᱦᱟᱛᱟᱣ, ᱚᱞ ᱥᱟᱦᱴᱟ, ᱢᱟᱲᱟᱝ ᱚᱞ ᱠᱚᱨᱮᱭᱟᱜ ᱠᱮᱞᱮᱱᱰᱚᱨ ᱟᱨ ᱦᱟᱢᱟᱞ ᱵᱚᱫᱚᱞᱚᱜ ᱧᱮᱞ ᱥᱟᱦᱴᱟ ᱢᱮᱱᱟᱜᱼᱟ᱾ ᱱᱚᱢᱱᱟᱣ ᱫᱚ iOS, iPadOS ᱟᱨ macOS ᱨᱮ ᱪᱟᱞᱟᱜᱼᱟ, ᱟᱨ ᱯᱩᱥᱴᱤ ᱧᱮᱞ ᱡᱚᱜᱟᱣ ᱫᱚ ᱟᱞᱜᱟ ᱟᱨ ᱡᱚᱛᱚ ᱫᱤᱱ ᱥᱟᱸᱜᱮ ᱫᱟᱲᱮᱭᱟᱜ ᱞᱮᱠᱟ ᱛᱮᱭᱟᱨ ᱨᱮᱭᱟᱜ ᱩᱫᱮᱥ ᱢᱮᱱᱟᱜᱼᱟ᱾
The Recognition
About the A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ
Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱱᱟᱣᱟ ᱵᱷᱟᱵᱱᱟ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Tired of tracking calories with tedious manual input? Try NomNow - just snap a photo or use a voice command, and AI does the rest. No more guessing portions or endless scrolling the food list. Powered by AI-driven voice, image, and text recognition, it accurately identifies food and calculates nutrition. With advanced RAG and LLM models, NomNow personalizes tracking, adapts to your habits, and provides smart insights, making healthy eating effortless. Now live on the App Store with 5,000 users.
- Dimensions & Packaging
- NomNow is available on iOS, iPadOS, and macOS, offering a seamless experience across Apple devices. The app is optimized for Apple Silicon and supports multimodal AI interaction using voice, image, and text input. It leverages RAG and LLM models for high-precision calorie tracking. The Apple Watch version is currently in development, aiming to provide real-time health insights and a more integrated nutrition tracking experience.
- Tags
- Health, Diet, AI, Calorie tracker, LLM, Weight loss, NomNow, Multimodal interaction, AI agents
- Production Technology
- NomNow leverages multimodal AI, integrating voice, image, and text recognition for seamless calorie tracking. Powered by Retrieval-Augmented Generation (RAG) and Large Language Models (LLM), it ensures high-accuracy food recognition and adaptive calorie estimation. AI agents refine user inputs, personalize recommendations, and build a dynamic nutrition database. NomNow transforms nutrition logging with context-aware, intelligent tracking, making it effortless and precise.
- Design Challenge
- Making AI capacities more user-centered and humanized.
- Research
- NomNow is now live on App Store with around 5000 users.
- Inspiration
- Manually tracking meals is frustrating - estimating portion sizes, recalling meals, and inputting data takes time. As a calorie-tracking app user, I felt these pain points firsthand. With advances in multimodal AI, AI agents, LLMs, and RAG, I saw the opportunity to redefine calorie tracking. No existing product seamlessly integrates voice, image, and text for effortless nutrition logging, so I built NomNow to make tracking smart, intuitive, and hassle-free.
- Project Duration
- June 2024 - Present
Launched on App Store in December 2024. - Operation Flow
- Log in / Sign up pages
User guidance page
In-app purchase page
Setting weight loss goals page
Home page - calorie intake today
Calorie Tracking page - logging via voice / photo / text
Calendar page - your calorie intake history
Weight change page - focus on your health goal - Patents
- Copyrights belong to NomNow, 2026
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