AI Product

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.

0: AI tools

The problem

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 did

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

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.

ReactReact NativeSupabasePythonAI ModelsImage ProcessingComputer Vision

Timeline: — · developer

AI hairstyle gallery showing 8 generated styles — Style gallery — generated hairstyle variations from a single source photo.

Before and after hairstyle comparison — Before/after — original and generated styles remain directly comparable.

Face shape detector with measurement overlay — Face shape analysis — computer vision measures facial proportions.

Seven face shape classification cards — Shape classification — each face type linked to personalized style guidance.

Apparent age estimation tool — Apparent age — AI estimates age range from a photo.

Seasonal color palette analysis — Color analysis — personalized seasonal palette recommendations.

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