NutriTrack AI
NutriTrack AI logs nutrition, hydration, body signals, and metrics in one timeline, then uses AI workflows for calorie estimation, item extraction, and dashboard insights. It ships as a Next.js web platform and an Expo mobile app over a shared, API-first backend.
- Started
- 2026
- Stack
- Next.js, TypeScript, Expo, React Native, Brevo
- Kind
- Product
- Source
- Private
Why I built it
Most health apps collect data and stop there. NutriTrack AI is built to help people log quickly, spot patterns earlier, and make better daily decisions from their own behavior rather than generic advice.
What it does
- Captures meals (manual and image-assisted), hydration, symptoms, and body metrics in one timeline
- AI workflows for calorie estimation, item extraction, and dashboard intelligence
- Full auth with OTP email verification, password reset, plus data export and account deletion
- Expo mobile app with Overview, Hydration, Nutrition, Body Signals, and Body Metrics tabs, packaged Play Store-ready
How it is built
Next.js 16 App Router backend with API-first route handlers and Brevo transactional email, plus an Expo Router mobile app with EAS build setup and a backend-driven release gate.
How it evolved
- 2026Scoped
Most health apps collect data and stop there.
- 2026Built
Next.js 16 App Router backend with API-first route handlers and Brevo transactional email, plus an Expo Router mobile app with EAS build setup and a backend-driven release gate.
- 2026Live
Shipped and kept it running.
Built by Syed Tasavour. More at syedtasavour.com.