AI Native FitScan
Body-scan fitness app with calorie tracking and meal recognition.
FitScan is a premium fitness companion that combines AI body scanning, workout logging, and food calorie recognition in one cross-platform app. Users complete an onboarding flow to set a target body composition, scan meals through the camera for instant macro estimates, and track daily calorie burn against personalized goals on a dashboard with weekly calendars and progress rings. Premium members unlock body-measurement scans that visualize before-and-after transformations over four-week cycles, while structured workout lists log sets, duration, and calories per exercise — keeping training data and nutrition in sync without manual spreadsheet work.
The problem
Members were logging workouts in one app, calories in another, and progress photos in a camera roll. Nothing connected a body goal to what they ate and what they trained.
What we shipped
FitScan combines body scanning, workout logging, and meal recognition. Onboarding sets a target composition. The camera estimates macros from a meal. The dashboard tracks calorie burn against that goal, with a weekly calendar and progress rings.
Premium members unlock measurement scans and a four-week before-and-after view. Workouts log sets, duration, and calories per exercise.
How it works
- Onboarding for a target body composition
- Camera meal scan with macro estimates
- Daily burn against a personal goal
- Premium body scans over a four-week cycle
- Workout lists with sets, duration, and calories
React Native and Expo run the camera. TensorFlow Lite handles on-device vision. FastAPI and PostgreSQL store the member record. Apple Health and Google Fit sync activity.
AI stack
Intelligence in this product is a set of tools with a job, not a chatbot on the home screen.
- Vector DB
After the vision model names a meal, nutrition is retrieved from a food library instead of guessed.
- Tools
The camera, the workout log, Apple Health, and Google Fit are tools the coaching flow can call.
- RAG
Coaching notes stay grounded in that member's scans, meals, and workout history.
Technology stack
- React Native 0.73
- TypeScript 5
- Expo Camera + Vision
- TensorFlow Lite
- Python 3.11
- FastAPI
- PostgreSQL 16
- Redis 7
- AWS S3
- Apple HealthKit
- Google Fit API
- RevenueCat
- Firebase Analytics
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