Forge

A SwiftUI fitness app designed to help users track workouts and food intake. Created as an experiment using Liquid Glass and on-device Apple Foundation Models.

SwiftUISwiftLiquid GlassFoundation Models
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The tabs are split into 'Workouts' for exercise tracking, 'Food Intake' for nutrition logging, 'Calendar' for food and exercise history, and 'Settings'. The focus of the app was to experiment with iOS 26 Liquid Glass and on-device Apple Foundation Models.
On-device AI using Apple's Foundation Models analyzes food entries and estimate macros by referencing the USDA FoodData Central database. Small, local models aren't very accurate, but web search tools can improve results. Cloud model is also available.
On-device AI using Apple's Foundation Models analyzes food entries and estimate macros by referencing the USDA FoodData Central database. Small, local models aren't very accurate, but web search tools can improve results. Cloud model is also available.
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Instant barcode scanning using Vision Kit's DataScanner API. Point your camera at any food product barcode (UPC/EAN) and the app automatically fetches nutrition data from OpenFoodFacts, a free crowd-sourced database.
Austin Heiss