Layered

Layered turns the tedious part of wardrobe organization — adding, tagging, cropping — into a single mirror selfie. AI detects every garment in the photo, extracts it cleanly from the background, categorizes it, and files it into your closet. Built with SwiftUI and The Composable Architecture, with SwiftData for local persistence and CloudKit for sync.

The app pairs that intake flow with a daily outfit maker (weather-aware suggestions built from clothes you already own), an AI stylist chat, a style archetype quiz, a capsule wardrobe builder, and a travel planner that packs a suitcase within luggage constraints. A home screen widget shows today's outfit at a glance.

Insights close the loop: cost-per-wear, utilization rates, most-worn pieces, and an eco score that surfaces the items you forgot you loved. Core styling features run against AI services over the network; background removal happens locally via Vision. The focus throughout is removing friction — pointing a camera should be enough to have a wardrobe that knows what you own.

Shipping an on-device ML feature? I consult on Core ML and Vision framework integrations.