MealWatchers

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.

Tech Stack

• Flutter
• Dart
• REST API
• Bearer token auth
• AWS S3
• RevenueCat
• OpenAI GPT-4o
• MLKit OCR

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.