MealWatchers
AI-powered diet tracking
The Project
MealWatchers is an internal product exploring AI-powered nutrition tracking. The app uses computer vision and machine learning to analyze meals, provide nutritional insights, and help users make informed dietary choices.
Unlike manual food logging apps, MealWatchers aims to reduce friction by automatically identifying foods and estimating portions through photo analysis.
Core Features
- AI Meal Analysis - Snap a photo and get instant nutritional breakdown
- Food Diary - Track meals, snacks, and beverages throughout the day
- Nutrition Analytics - Visualize macros, calories, and trends over time
- Personalized Insights - AI-generated recommendations based on eating patterns
- Goal Tracking - Set and monitor dietary goals with progress indicators
Why We're Building It
MealWatchers serves as a proving ground for AI integration patterns we use across client projects. It lets us explore computer vision, on-device ML, and personalization algorithms in a real product context.
Tech Stack
Mobile
Flutter (Dart)
Vision
OpenAI Vision API
On-Device ML
TensorFlow Lite
Backend
Firebase
Analytics
Custom nutrition engine
Database
Firestore
Auth
Firebase Auth
Storage
Firebase Storage
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