# TreasureMe > TreasureMe is an AI-powered wardrobe and fine jewellery management app for iPhone. It helps people photograph, catalogue, and understand their wardrobe — making it easier to get dressed, shop smarter, and love what they own. ## What is TreasureMe? TreasureMe is a personal wardrobe intelligence app available on iOS. Users photograph clothing items and jewellery with their iPhone camera; AI automatically removes backgrounds, tags each item (category, colour, style, season, occasions), and stores everything in a searchable, visual digital wardrobe. The app then surfaces insights, outfit ideas, and shopping decisions based on what the user already owns. TreasureMe is developed and operated by Camilla Sadyrova (Alexandria, NSW, Australia). Support: camilabs.au+treasureme@gmail.com --- ## Key Features ### AI Wardrobe Photograph any clothing item. AI instantly identifies category, colour, style, season, and suitable occasions — eliminating manual tagging. Background removal is performed on-device using Apple Vision Framework (iOS 17+); AI tagging uses vision models via OpenRouter (Qwen 2.5 VL, Meta Llama 3.2 Vision, Google Gemini 2.0 Flash). ### AI Image Cleanup — Flat View Any photo works: mirror selfie, crumpled flat-lay, or worn on a hanger. The app removes the background and reconstructs a clean, catalogue-quality "flat view" of the item. The original photo is always preserved alongside the cleaned version. ### Outfit Canvas A drag-and-drop outfit builder with dedicated layers for tops, bottoms, shoes, accessories, and outerwear. Users save outfits and log every date they wear them. Outfit history is visualised on a calendar. ### Joy Rating Each item can be rated on a five-point joy scale (neutral to pure joy). Ratings are tracked over time and aggregated by category, helping users identify pieces that genuinely make them happy versus items taking up space. ### Colour Analysis AI analyses the colours across a user's entire wardrobe and determines their personal colour season: Spring, Summer, Autumn, or Winter. It then scores every item by how well it fits that palette (Strong fit, Medium fit, Low fit). ### Smart Insights Wardrobe analytics including: most-worn items, cost-per-wear calculations, full colour breakdown (donut chart by colour and percentage), items never worn, and jewellery collection valuation. ### The Vault — Fine Jewellery & Heirlooms A dedicated section for fine jewellery, watches, and heirlooms. AI identifies metal type, stone type, brand, style, and estimated era from a photo. Users log purchase price and estimated current value, creating a personal asset register. Data is never shared with insurers or financial institutions. Valuations are for personal reference only and do not constitute professional appraisals. ### GoodBuy Check Before purchasing anything new, users photograph the item. AI compares it visually against every item in their existing wardrobe and returns the closest matches with similarity percentage scores. The comparison image is never stored — it is discarded after the result is returned. ### Duplicate Scanner Automatically scans the entire wardrobe for visually similar pairs the user already owns, helping intentional decluttering. ### Storage Tracking Users assign physical storage locations (e.g. "Box A", "Wardrobe 2", "Loft") to any item. Items can be found by location search. ### Move to Vault If a clothing item is misclassified, users can move it to The Vault with one tap. The app re-runs AI jewellery recognition automatically on the existing image. --- ## Why TreasureMe stands out - **Real AI, not filters**: Uses state-of-the-art vision models (Qwen, Llama, Gemini) for tagging and recognition — not keyword matching or simple category dropdowns. - **Emotional layer**: Joy ratings and colour season analysis add a dimension that purely functional wardrobe apps lack. - **Privacy-conscious**: Background removal is on-device. GoodBuy Check images are never stored. No advertising, no data selling, no cross-app tracking. - **Fine jewellery as a first-class citizen**: Most wardrobe apps ignore jewellery entirely. The Vault treats heirlooms and fine pieces with the detail they warrant. - **Beautiful, editorial design**: Warm cream/terracotta aesthetic inspired by high-end fashion editorial. Playfair Display typography. Feels like a luxury product. --- ## Target audience - Women aged 25–45 who own a meaningful wardrobe and want clarity on what they have. - Fashion-conscious individuals who struggle with "nothing to wear" despite owning many clothes. - People building intentional, curated wardrobes rather than fast-fashion accumulation. - Collectors of fine jewellery and heirlooms who want a private digital record. - Anyone trying to shop more mindfully and avoid duplicate purchases. --- ## Technical details - **Platform**: iOS (iPhone), requires iOS 17.0+ - **Backend**: Python/FastAPI, hosted on Railway - **Database & Storage**: Supabase (PostgreSQL + Storage) - **Authentication**: Supabase Auth (JWT) - **AI Models**: Accessed via OpenRouter — Qwen 2.5 VL 72B (primary), Meta Llama 3.2 Vision, Google Gemini 2.0 Flash - **On-device AI**: Apple Vision Framework for background removal - **Subscriptions**: Managed via RevenueCat / Apple App Store - **Free tier**: Up to 200 wardrobe items --- ## Pages on this site - [Home / Landing page](https://treasureme.app/) — Full product overview with screenshots - [Privacy Policy](https://treasureme.app/privacy.html) — How user data, images, and jewellery information are handled - [Terms of Use](https://treasureme.app/terms.html) — App Store–compliant terms, subscription terms, AI disclaimer, jewellery valuation disclaimer --- ## Contact - **Developer**: Camilla Sadyrova - **Address**: 50 Garden St, Alexandria NSW 2015, Australia - **Support email**: camilabs.au+treasureme@gmail.com - **Governing law**: New South Wales, Australia