Nomnow Aplacaid Tracadh Chalaraidhean by Meiqi Zhao

Nomnow Aplacaid Tracadh Chalaraidhean by Meiqi Zhao is a highly esteemed winner of the very prestigious 2026 Duais Umha A' Design Award in Dealbhadh Thoraidhean Didseatach Competition Category.

UmhaToradh Didseatach· 2026

Nomnow Aplacaid Tracadh Chalaraidhean

by Meiqi Zhao

Client: NomNow

Duais Umha A' Design Award Winner in Toradh Didseatach Category

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The Design

About Nomnow Aplacaid Tracadh Chalaraidhean

'S e aplacaid tracadh chalaraidhean airson innealan-làimhe agus deasg a th' ann an NomNow. Gabhaidh an aplacaid ri cur-a-steach guth, ìomhaigh, agus teacsa, agus mar sin faodar biadhan a chlàradh san dòigh a fhreagras air gach suidheachadh. Bidh inntleachd fhuadain ag aithneachadh a' bhìdh agus a' tomhas nan luachan beathachaidh, rud a chuireas às do rannsachadh làimhe agus lìonadh fhoirmean. Am measg nan sgrìonaichean tha gabhail chalaraidhean làitheil, duilleag clàraidh, mìosachan de chlàran a chaidh seachad, agus sealladh air atharrachadh cuideim. Tha NomNow a' ruith air iOS, iPadOS, agus macOS, agus tha e ag amas air sgrùdadh beathachaidh a dhèanamh sìmplidh agus furasta a chumail a' dol.

The Recognition

About the Duais Umha A' Design Award

Tha Nomnow Aplacaid Tracadh Chalaraidhean air Duais Umha A' Design Award a bhuannachadh, aithneachadh gu math urramach a bheirear do dhealbhaidhean sònraichte a tha air an comharrachadh le cruthachalachd, innleachd agus geurchuis. Tha buannaichean Umha nan obraichean gu math sgileil agus gu sònraichte cruthachail a dhearbhas eòlas farsaing, mac-meanmna agus tapachd an luchd-dealbhaidh. Thathar an dùil gum bi Nomnow Aplacaid Tracadh Chalaraidhean na nì air a bheil mòran meas, ion-mholta agus gràdhach, a tha gu sònraichte proifeiseanta agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Umha A' Design Award a' cur nan cleachdaidhean as fheàrr ann an ealain, saidheans, dealbhadh agus teicneolas an gnìomh, agus tha e sàr-mhath airson an aire do mhion-fhiosrachadh. Bidh Nomnow Aplacaid Tracadh Chalaraidhean a' sàsachadh fheumalachdan gu h-iongantach, a' suathadh ri miannan, a' tàladh faireachdainnean agus a' togail fiosrachd.

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