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Next Robot

Client project · Global

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AURA — an AI stylist and digital wardrobe in your phone

Your whole wardrobe in your phone: AI styling from your own clothes, try-on on your photo and a shop matched to your closet.

AURA: desktop screenshot
AURA: mobile screenshot

// Results

AI functions on real models, from the stylist chat to promo video
8
AI scenarios tested on real photos
6 of 6
catalog images generated by AI in one visual style
78

// How it works

  • My closet: wardrobe score 96, 14 items, 39 outfits and cost per wear
    My closet: wardrobe score 96, 14 items, 39 outfits and cost per wear
  • Look “Parisian morning”: harmony 94, Ava's comment and 5 pieces from the closet
    Look “Parisian morning”: harmony 94, Ava's comment and 5 pieces from the closet
  • Demo product card: 99% Match, a closet-match discount and pairings with your closet
    Demo product card: 99% Match, a closet-match discount and pairings with your closet
  • AI Studio: Outfit Changer, Retake AI, 3D Inventory and Promo Video
    AI Studio: Outfit Changer, Retake AI, 3D Inventory and Promo Video

What we built

Next Robot built AURA as a working prototype: a React 19 PWA with its own Node 24 server, in Russian and English. The user picks a women's or men's wardrobe once and adds items by photo, and AI fills in category, colour, brand and season and removes the background. The stylist Ava builds looks for an occasion from the user's own items, the try-on puts a garment on the user's photo, and the shop scores each product against the closet. AI runs through one provider chain with automatic fallback. The plan sets a 60-day path to a launch-ready MVP for Russia and global markets.

  • Digital closet: add an item by photo; AI fills in category, colour, brand and season and removes the background
  • AI stylist Ava: chat and voice input, looks for an occasion built from the user's own items
  • Virtual try-on on the user's own photo and a colour type from a selfie with a palette and a closet check
  • “100% Match” shop: every product scored against the closet, plus search by screenshot for up to 6 garments

// Stack

  • React 19
  • Node 24
  • GPT / Claude
  • Nano Banana
  • Seedance
  • PWA
// How it works

Step by step

  1. #01

    Set up the profile

    The user picks Russian or English, a women's or men's wardrobe and at least one of 12 styles. An optional selfie and a spoken description of personal style add detail.

  2. #02

    Add clothes by photo

    A photo of an item goes to the vision model, which fills in category, colour, HEX code, brand and season. Background removal runs in parallel, and the app flags similar items already in the closet.

  3. #03

    Ask Ava for a look

    The user describes the occasion in chat or by voice. Ava picks pieces from the user's own closet, explains why they work together and suggests a shop item to complete the look.

  4. #04

    Try on and find colours

    The try-on takes a full-length photo and an item or a whole look and returns the same person wearing it. From a selfie, the model identifies one of 4 colour types with a matching palette.

  5. #05

    Shop with the closet

    Each product page shows a Match score, the closet pieces it pairs with and the new outfits it adds. A high Match unlocks a closet discount. Checkout in the prototype is a test payment.

// FAQ

Questions and answers

What is AURA?

AURA is a mobile-first web app that keeps a person's whole wardrobe in the phone. Next Robot built it as a working prototype for the AURA founding team: a digital closet, the AI stylist Ava, virtual try-on, colour typing from a selfie, a shop scored against the closet and a style community. It runs in Russian and English. Payments and the catalog use demo data. The plan targets a launch-ready MVP in 60 days.

How do the AI stylist and virtual try-on in AURA work?

In AURA, the stylist Ava receives the chat history, the wardrobe list, the user's colour type and style keywords. The model returns a reply, an occasion, a look title and item ids. The server checks every id against the user's closet and keeps one item per category, with several accessories allowed, up to 8 pieces. Try-on sends the user's photo and the garment to an image model as a background task, and the app shows progress until the result is ready.

Which technologies power AURA?

Next Robot built AURA as a PWA on React 19, Vite, TypeScript, Tailwind CSS and zustand. A lean Node 24 server on built-in modules runs 8 AI routes through one provider chain: the KIE model API first, with Anthropic and OpenAI as fallbacks for text and vision. GPT and Claude models handle text and vision, Nano Banana handles try-on and image edits, Recraft removes backgrounds and Seedance renders video. Each AI function also has a rule-based demo mode, so every screen stays usable.

How can I get a similar app from Next Robot?

Next Robot builds consumer AI apps on the AURA model: AI stylists and assistants, virtual try-on, item recognition from photos and shops with personal product picks for each user. The first step is a free AI audit call. An engineer sends an estimate within 24 hours, and the next stage is a fixed-price pilot with agreed KPIs. Next Robot signs an NDA on request.

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Describe the task. An engineer replies within 24 hours with a plan and an estimate.

  • Free AI audit
  • Fixed-price pilot
  • NDA on request