Meiqi Zhao ᱨᱮᱱᱟᱜ Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱠᱟᱥᱟᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ· 2026
Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ
Meiqi Zhao ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: NomNow
ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#171063 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Nomnow ᱠᱮᱞᱚᱨᱤ ᱯᱟᱧᱡᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱵᱟᱵᱚᱛ ᱛᱮ
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᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
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᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- 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.
- ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ
- 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.
- ᱴᱮᱜ ᱠᱚ
- Health, Diet, AI, Calorie tracker, LLM, Weight loss, NomNow, Multimodal interaction, AI agents
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- 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.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- Making AI capacities more user-centered and humanized.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- NomNow is now live on App Store with around 5000 users.
- ᱯᱨᱮᱨᱚᱱᱟ
- 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.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- June 2024 - Present
Launched on App Store in December 2024. - ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- 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 - ᱯᱮᱴᱮᱱᱴ ᱠᱚ
- Copyrights belong to NomNow, 2026
ᱥᱯᱚᱱᱥᱚᱨᱰ
Designers.org ᱠᱷᱚᱱ ᱯᱟᱨᱚᱢ ᱛᱟᱞᱟᱥ
ᱟᱞᱮᱭᱟᱜ ᱵᱤᱜᱽᱭᱟᱯᱚᱱ ᱥᱟᱹᱜᱟᱹᱭ ᱠᱚ ᱠᱷᱚᱱ ᱯᱨᱚᱰᱟᱠᱴ, ᱥᱮᱵᱟ ᱟᱨ ᱢᱚᱠᱟ ᱩᱫᱩᱜ ᱢᱮ᱾
ᱟᱨᱦᱚᱸ ᱠᱷᱚᱡ ᱢᱮ
ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
