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Press Release

Nomnow AI Calorie Tracker

A' Design Award 2026 Bronze Winner in Digital Product Design

24 April 2026

Nomnow AI Calorie Tracker by Meiqi Zhao
Nomnow AI Calorie Tracker by Meiqi Zhao
Nomnow AI Calorie Tracker by Meiqi Zhao
Nomnow AI Calorie Tracker by Meiqi Zhao
Nomnow AI Calorie Tracker by Meiqi Zhao

Meiqi Zhao · CLIENT: NomNow

NomNow is a calorie tracking application for mobile and desktop devices. The application accepts voice, image, and text input, so meals can be logged in the way that suits each situation. Artificial intelligence identifies the food and calculates the nutrition values, which removes manual searching and form filling. The screens include daily calorie intake, a logging page, a calendar of past entries, and a weight change view. NomNow runs on iOS, iPadOS, and macOS, and aims to make nutrition monitoring simple and easy to sustain.

Press Kit

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.
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
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.
Patents
Copyrights belong to NomNow, 2026

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