Nomnow 卡路里追蹤應用程式 by Meiqi Zhao is a highly esteemed winner of the very prestigious 2026 A' Design Award 銅獎 in 數碼產品設計 Competition Category.

銅數碼產品· 2026

Nomnow 卡路里追蹤應用程式

by Meiqi Zhao

Client: NomNow

A' Design Award 銅獎 Winner in 數碼產品 Category

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Verified Award Winner
Verify Award Status for #171063

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The Design

About Nomnow 卡路里追蹤應用程式

NomNow係一款適用於流動裝置同桌面裝置嘅卡路里追蹤應用程式。呢個應用程式接受語音、圖像同文字輸入，令用家可以按照每個情況揀最合適嘅方式記錄餐飲。人工智能會識別食物並計算營養數值，免除咗人手搜尋同填表嘅工序。介面畫面包括每日卡路里攝取量、記錄頁面、過往記錄嘅日曆，以及體重變化檢視。NomNow可以喺iOS、iPadOS同macOS上運行，目標係令營養監測變得簡單而且容易持續。

The Recognition

About the A' Design Award 銅獎

Nomnow 卡路里追蹤應用程式是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Nomnow 卡路里追蹤應用程式將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Nomnow 卡路里追蹤應用程式出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。

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