Nutriboo

• 

  Daily nutrition tracking

• 

  Add meal screen

Inspiration

As parents and health-tech nerds, we were shocked to learn that 1 in 5 toddlers in Southeast Asia shows signs of hidden malnutrition. Existing calorie-tracker apps ignore the 6-to-36-month window and rarely speak Indonesian food culture. We envisioned an app that feels as easy as snapping a photo, yet smart enough to coach caregivers day-by-day—stopping stunting before it starts.

What it does

• AI Meal Recognition – snap a picture; Nutriboo identifies dishes and logs calories/macros.
• Personalised Targets – daily goals auto-calculated from age, weight and growth curves.
• Smart Snack Suggestions – if intake is low, the app proposes kid-friendly “extra bites.”
• Affirmative Words – morning micro-boosts that keep caregivers motivated.
• Progress Charts – weekly calories next to weight/height, so gaps jump off the screen.

How we built it

• Frontend – Expo Router, Tailwind, Poppins/Inter fonts.
• Backend – Supabase (Postgres, Storage, RLS).
• AI – LogMeal segmentation API;
• Infra – EAS (AAB/APK)

Challenges we ran into

1. Version-mismatch crashes (Expo SDK ≠ module versions) → solved with expo doctor + strict semver.
2. Corporate firewall blocking Metro → fixed via adb reverse + Expo Tunnel.
3. Portion accuracy—parents think in spoons, model wants grams → added quick slider.

Accomplishments we’re proud of

• Functional AI flow: < 7 s from camera click to logged macros on mid-range Android.

What we learned

• Ship thin vertical slices; real feedback > pixel-perfect mock-ups.

What’s next for Nutriboo

• Portion-size Estimation v2 (hand + plate detection).
• Offline-Lite caching for low-connectivity areas.
• Community Recipes with auto-nutrition fill.
• Public Play Store/iOS launch

Built With

• expo-+-react-native
• expo-router
• logmeal
• supabase
• typescript