Calorie AI Tracker
Privacy-First AI Health App for iOS
This project is personal. I spent years tracking calories and wishing a tool like this existed. Food tracking shouldn’t be exhausting. AI can make it effortless.
The Problem
Food tracking is tedious. Existing apps are manual, unintelligent, and built around databases. The experience hasn’t changed in a decade, and it’s why most people quit tracking within weeks.
The Solution
An AI-native tracking app built entirely on local, on-device intelligence. No cloud computing, no user data leaving your phone. Tell it what you ate and it handles everything: parsing, estimating, logging, and syncing with Apple HealthKit. On-device image models can estimate caloric intake from photos of your meals. Everything runs locally, stays completely private, and learns from your patterns over time.
Key Features
Natural Language Logging
Describe meals in plain English. No searching databases or scrolling through entries.
Apple HealthKit Integration
Deep integration with Apple HealthKit. Nutrition data syncs seamlessly with the iOS health ecosystem.
On-Device Intelligence
Everything runs locally on your phone. No cloud servers, no data leaving your device. Core ML processing that gets smarter over time.
Visual Meal Estimation
Point your camera at a meal. On-device image models estimate caloric content without sending photos anywhere.
Tech Focus
SwiftCore MLHealthKitVision FrameworkOn-device NLPiOS Native
Current Status
Concept stage. Product vision defined. Technical research into Core ML, on-device NLP, and HealthKit integration underway.