I created Apparely because I was tired of staring at my closet every morning with no idea what to wear. I wanted a personal stylist who knew every item I owned — but I didn't want to pay thousands for one. So I built an AI that does exactly that.
Apparely turns your phone into a fashion assistant. Snap photos of your clothes, chat with Lumina (the AI stylist), and get outfit recommendations tailored to your plans — all from your own closet.
| 1. Snap | Photograph your clothes. AI auto-detects, crops, removes backgrounds, and catalogs everything. |
| 2. Chat | Tell Lumina where you're going. She asks about setting, time, occasion, and style mood. |
| 3. Swipe | Browse AI-curated outfit combinations. Like it? Swipe right. She learns your taste over time. |
| Wardrobe | AI Chat | Outfit Swipe | Health Score |
|---|---|---|---|
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 |
 |
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- Smart Wardrobe Cataloging — AI detects clothing items, removes backgrounds, and auto-categorizes
- Multi-Item Extraction — Snap a flat-lay; tap each item to extract it individually
- Concierge Chat Flow — Lumina walks you through setting, location, time, and occasion
- Tinder-Style Swipe Deck — Like/dislike outfits; AI learns your preferences
- Wardrobe Health Score — Insights on variety, color balance, and wear frequency
- Photo Feedback — Upload a photo of your worn outfit for color/contrast tips
- Privacy-First AI — Image analysis runs on-device; your photos stay local
| Layer | Technology |
|---|---|
| Framework | Flutter (iOS-first) |
| State Management | Provider + Riverpod patterns |
| Local DB | SQLite (apparely_wardrobe.db) |
| Preferences | SharedPreferences |
| Images | image_picker, camera, local_rembg |
I designed a local-first, profit-optimized AI pipeline that minimizes cloud costs:
Image Analysis: CoreML → Apple Vision → Local Python → Downloaded Model → Heuristic Fallback
Text Chat: Dev Server → Downloaded LLM → Cloud (with explicit user consent)
| Component | Purpose |
|---|---|
| CoreML | On-device image classification (zero cloud cost) |
| Apple Vision | Object detection and segmentation |
| Local Python | Custom heuristics for clothing categorization |
| Downloaded Models | Optional local LLM for offline text chat |
| Cloud Fallback | Groq/OpenAI only when local AI isn't enough |
| Service | Tech |
|---|---|
| Serverless Functions | Firebase Functions (TypeScript) |
| Auth | Firebase Auth |
| Subscriptions | RevenueCat (Beginner $5.99, Intermediate $9.99, Advanced $19.99) |
| Usage Tracking | Custom Firebase Functions with tier enforcement |
The marketing site is built with Next.js, React Three Fiber (3D particle background), Framer Motion (scroll animations), and Tailwind CSS.
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Flutter App │────▶│ Firebase Auth │────▶│ RevenueCat │
│ │ │ │ │ (Subscriptions)│
│ ┌───────────┐ │ └─────────────────┘ └─────────────────┘
│ │ Camera │ │
│ │ Gallery │ │ ┌─────────────────┐
│ │ SQLite │ │────▶│ Firebase Functions│
│ │ SharedPref│ │ │ (Usage Tracking) │
│ └───────────┘ │ └─────────────────┘
│ │
│ ┌───────────┐ │ ┌─────────────────┐
│ │ CoreML │ │ │ Cloud AI APIs │
│ │ Apple Vis │ │────▶│ (Fallback) │
│ │ Heuristics│ │ └─────────────────┘
│ └───────────┘ │
└─────────────────┘
| Plan | Price | What's Included |
|---|---|---|
| Free | $0/mo | 25 items, 10 recs/day, 5 gens/day |
| Beginner | $5.99/mo | 200 items, unlimited local AI |
| Intermediate | $9.99/mo | 300 cloud AI credits + 3-day trial |
| Advanced | $19.99/mo | Unlimited everything |
- Website: apparely.app
- App Store: Coming soon
- Contact: hello@apparely.app
Built with passion by Parth.
© 2025 Apparely. All rights reserved.