Zellium**
Understand how what you eat affects you.
An AI-powered nutrition app that evaluates what you eat by its physiological impact and gives symptom-based feedback. Led the Flutter front end and took on the backend and AI integration.
My role: Front-end lead with expanded backend ownership. Built in collaboration with Flywheel Studio*.
- Flutter
- Dart
- Supabase
- AI APIs
The problem
Calorie counters tell you numbers. Zellium wanted to tell users how a meal would make them feel, which meant connecting food logging to AI evaluation and a symptom model.
The approach
Led the Flutter front end and took on the backend integration: Supabase data model and the AI API pipeline that scores food intake by physiological impact and maps it to symptom-based feedback shown in the app.
The result
A working AI feedback loop inside a polished mobile experience, delivered on schedule.
* Flywheel Studio is a trademark of its owner; all rights reserved. Listed only as a record of my work; no affiliation or endorsement is implied.
** Zellium is a trademark and brand of its respective owner, not of Flywheel Studio. Product names, websites and screenshots belong to those companies and are shown only to document the work I did.
What it does
- Food scanning and logging
- AI evaluation by physiological impact
- Symptom-based feedback
- Supabase backend