Nomnow 卡路里追踪应用程序 by Meiqi Zhao is a highly esteemed winner of the very prestigious 2026 A' Design Award 铜奖 in 数字产品设计 Competition Category.
铜数字产品· 2026
Nomnow 卡路里追踪应用程序
by Meiqi Zhao
Client: NomNow
A' Design Award 铜奖 Winner in 数字产品 Category
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- Verified Award Winner
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The Design
About Nomnow 卡路里追踪应用程序
NomNow 是一款适用于移动设备与桌面设备的卡路里追踪应用程序。该应用支持语音、图像和文字三种输入方式，用户可根据不同情境以最合适的方式记录餐食。人工智能自动识别food食物并计算营养数值，免去了手动搜索与填写表单的繁琐流程。界面包括每日卡路里摄入量、记录页面、历史记录日历以及体重变化视图。NomNow 可在 iOS、iPadOS 和 macOS 系统上运行，旨在让营养监测变得简单易行、便于长期坚持。
The Recognition
About the A' Design Award 铜奖
Nomnow 卡路里追踪应用程序是 A' Design Award 铜奖得主，这是授予以创造力、独创性和敏锐见长的杰出设计的极具声望的认可。铜奖得主是技艺娴熟、创意惊人的作品，印证了其设计师丰富的经验、想象力与机智。预计Nomnow 卡路里追踪应用程序将成为一件备受推崇、令人钦佩且被珍爱的物品，兼具显著的专业性与创新性。这件赢得 A' Design Award 铜奖的设计融入艺术、科学、设计和技术领域的最佳实践，并因注重细节而出类拔萃。Nomnow 卡路里追踪应用程序出色地满足需求，触动渴望，迷住情感，并吸引好奇心。
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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