Nutrition-First Fitness Assistant with Meal Planning, Daily Progress & Intelligence
Diet App
A daily diet companion that learns from your habits and suggests improvements without the friction.
Metaviz AI built DietApp - a next-generation nutrition and calorie intelligence platform inspired by YAZIO. DietApp allows users to log meals instantly (barcode, search, or photo), follow personalized meal plans, track macros, schedule fasting, sync wearables, and visualize progress through smart nutrition analytics.
This project shows how AI + nutrition science can merge into one flexible app experience. Metaviz AI shaped a complete ecosystem that blends user habits, biometrics, diet patterns, and calorie math - into one adaptive flow that evolves with user progress.
- AI nutrition app
- Calorie tracker
- Macro tracking
- Barcode meal logging
- Fasting timer
- Personalized meal plans
- Wearable health sync
- Nutrition analytics
- Cross-platform fitness app
- YAZIO alternative
Solving real problems with smart engineering
Ultra-Fast Food Logging
Problem
Logging a meal took minutes of searching and typing, and that friction is what breaks a diet habit in its first week.
Solution
Ultra-Fast Food Logging - Barcode scanner, search, or optional photo capture - log meals in seconds, not minutes.
Personalized Meal Plans
Problem
Meal plans ignored dietary preferences, allergies and calorie targets, so every plan had to be adapted by hand or abandoned.
Solution
Personalized Meal Plans - AI-curated meal plans and recipes tailored to dietary preferences, allergies, and calorie targets.
Fasting Modes
Problem
Fasting was tracked in one app and calories in another, so the two halves of the same routine never lined up.
Solution
Fasting Modes - Built-in fasting timers and reminders - 16:8, OMAD, custom windows - all tracked in one place.
Progress Analytics
Problem
Logged data sat as raw numbers with no trend view, giving users no sense of whether any of it was working.
Solution
Progress Analytics - Weight, macros, and nutrient trends visualized in clean, motivating charts.
Wearable Sync
Problem
Activity recorded by wearables stayed in its own ecosystem, so calorie targets never accounted for what was actually burned.
Solution
Wearable Sync - HealthKit, Google Fit, Fitbit, and Withings integration - auto calorie adjustment based on activity.
A closer look at every screen
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Built with
Mobile
- React Native or Flutter - cross-platform iOS and Android
- Native barcode scanning SDK or ML-based scanner
Backend & Data
- Node.js / FastAPI with PostgreSQL or MongoDB
- Custom food database + Edamam / Spoonacular integration
- Firebase Auth / AWS Cognito + S3 / Firebase Storage
Wearables & Charts
- HealthKit, Google Fit, Fitbit, Withings - full wearable sync
- MPAndroidChart / Victory / Recharts for progress visualization
Payments & AI
- Stripe + App Store / Google Play billing for subscriptions
- GPT-4o (optional) for meal swaps and recipe variants
What actually changed
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