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AI Hairstyle Studio

Four AI styling tools in one consumer product

Built a React consumer experience with Python AI workflows for hairstyle generation, face analysis and color guidance.

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AI tools
AI Hairstyle Studio — ai consumer product

The situation

When consumer generative AI first became practical, most image products still felt like technical demos. Users were expected to understand prompts, models and parameters. The challenge was turning those capabilities into a product anyone could use.

What we built

JetBuild built a React consumer experience backed by Python workflows that handled image processing, hosted model requests and different output formats behind the scenes. Users simply choose what they want to try and receive a visual result.

  • Hairstyle generation from photo upload
  • Style gallery with multiple variations
  • Face-shape detection and classification
  • Apparent-age estimation
  • Seasonal color palette analysis
Style gallery — generated hairstyle variations from a single source photo.
Before/after — original and generated styles remain directly comparable.
Face shape analysis — computer vision measures facial proportions.
Shape classification — each face type linked to personalized style guidance.
Apparent age — AI estimates age range from a photo.
Color analysis — personalized seasonal palette recommendations.

Technical challenge

Four different AI model workflows — generative image, face-shape measurement, age estimation and color analysis — each with different async processing patterns, all behind one coherent consumer interface.

The result

The result is a reusable AI styling platform rather than a single demo — hairstyle generation, face analysis, apparent-age estimation and color analysis share one coherent interface.

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