An AI styling engine that drafts a stylist's look plan in minutes, not hours

Client: An early-stage AI-assisted personal styling marketplace in India.

The challenge

Preparing a personal look plan takes a stylist most of a working day, which keeps styling expensive.

Global styling apps don't understand Indian occasions, garments or skin-tone ranges.

Users share selfies and full-body photos, so privacy has to be built in from day one.

Built Robral's own facial and body analysis engine. It reads face shape, skin tone and undertone, facial proportions and symmetry, and body shape, each with a confidence score.
An AI engine grounded in a curated styling knowledge base turns those signals into a draft look plan, with outfit direction, colour palette and personal style rules.
The stylist reviews and edits the draft in a web dashboard, then finalises it with the client on an in-app video call.
A Flutter app with booking, an integrated payment gateway, live in-app chat between users and stylists, WhatsApp and push notifications, and an admin panel.

Stylists start from an AI draft instead of a blank page. The AI is the brain; the stylist is the product.
Built for Indian occasions and garments, with output in English and Hinglish.
Consent-first privacy under India's DPDP Act: encryption, opt-in AI training and right to erasure.

Technology & capabilities

Relevant forFashion, beauty and retail brands that want personalised, AI-assisted recommendations for their customers.

Delivered by Robral Technologies. Client identity is withheld; details are shared at a level that protects the client's confidentiality.

Tell us about your system. The usual first step is a 14-day proof of concept on one real slice.