coderqh
Capsora
$28Flutter AI Wardrobe Stylist App Template
Flutter salon booking app template, plus skincare and wardrobe apps
3 apps in this collection, each with full Flutter source.
Beauty apps here come in two kinds: booking a chair at one salon or barbershop, and personal tools for the bathroom shelf and the wardrobe. Shearora is built for a single shop. The stylist's day is one strip with taken time hatched, so a customer can see whether a gap is wide enough before dropping a booking into it. Sides, back, top and beard are each set on a dial and saved as a cut card the barber reads before the customer sits down, and the same cut can be rebooked in a tap. Walk-ins join a queue from their phone and watch a barber pole turn as the line moves, while stylists, services and bookings are managed in the included Laravel admin.
Skinora reads the back of a skincare bottle. An AI model only transcribes the label from a photo; what each ingredient does comes from a table bundled inside the app, and names it does not know show up as a marked gray row rather than a guess. It also checks a morning and evening routine against rules kept in data and counts down each product's period after opening. Capsora files a closet as one rail per category. A vision model suggests a name, colors and season for each new piece and the user can edit every tag, and the stylist builds outfits only from garments that are really in the closet. Open the live preview of the closest one first, then buy the source.
Questions about beauty & fashion apps
Something else? Email support@coderqh.com; the author answers.
Can customers join a walk-in queue as well as book ahead?
Yes. Shearora lets a customer join the walk-in line from their phone: a barber pole turns as the line moves, their marker climbs toward the number being served, and the app says when to set off. Booked appointments sit on the same stylist's day, and the queue works because stylists, services and opening hours all belong to one shop managed in the Laravel admin.
How does Skinora explain an ingredient it reads from a photo?
From a table that ships inside the app, not from the AI. The model only turns the photo of the label into text; each ingredient is then matched in printed order against the bundled table and shown with its role in the formula. Names missing from the table appear as a clearly marked gray row instead of a guessed match, and the app does not score products or name skin conditions.
Can the wardrobe stylist suggest clothes the user does not own?
No. Capsora sends the closet with its ids, and every garment id that comes back is checked against the closet before anything is drawn; an outfit left with fewer than two real pieces is dropped. Tags read from a photo are suggestions the user can edit, and cost per wear and long-unworn pieces are counted on the device.
Do I need a server or an AI key to try these apps?
No. Shearora ships with sample data and every screen works without a network until you point it at the included Laravel admin. Skinora and Capsora run in demo mode from the first launch, Capsora with a sample closet already filled, so every screen can be explored before anyone enters a key for one of the supported AI providers.