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Fashion Tech2024Affinity Labs

Affinity Labs Project

Fashion recommender app using image search

Client: Affinity LabsTimeline: 8 monthsStyleUpAI Product LeadFashion Tech
8 months
Timeline
Completed
Status
Executive snapshot

Affinity Labs Project uses AI to recommend fashion styles by analyzing user-uploaded images and searching a large style database.

Finding relevant fashion inspiration quickly.
Affinity Labs Project actual product screenshot
Live desktop experience

StyleUp

Fashion recommender app using image search

Affinity Labs Project mobile website screenshot

Responsive mobile view

Project focus

Affinity Labs Project at a glance

Fashion recommender app using image search

Client: Affinity LabsTimeline: 8 monthsStyleUpAI Product LeadFashion Tech
Product summary

StyleUp

Client tension

Client goal

01

Finding relevant fashion inspiration quickly.

Finding relevant fashion inspiration quickly.
Delivery move

Delivered solution

02

Built an AI-powered image search and recommendation engine.

Image Search
AI Recommendations
Buyer lens

Key takeaway

03

StyleUp

Image Search
AI Recommendations
Live walkthrough

Live product walkthrough

Review the live fashion tech experience for Affinity Labs Project and compare the shipped interface to the case study narrative.

Visit website
styleup-five.vercel.app
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Project narrative

Inside Affinity Labs Project

Affinity Labs Project is structured around Image Search and AI Recommendations.

Product summary

Fashion recommender app using image search

Image SearchAI Recommendations
Affinity Labs Project positioning

Positioning

01

Fashion recommender app using image search

Finding relevant fashion inspiration quickly.
Solution direction

Experience

02

Built an AI-powered image search and recommendation engine. Visual-first, AI-powered recommendations.

Image Search
AI Recommendations
Flow map

Key flows

03

Affinity Labs Project guides users through Image Search and AI Recommendations.

Image Search
AI Recommendations
Connected systems

Integrations

04

Visual-first, AI-powered recommendations.

Product experience

Key moments inside Affinity Labs Project.

The supporting visuals below focus on the interface details, brand treatment, and product surfaces that make Affinity Labs Project feel polished and credible.

Live website sections to notice
Image Search
AI Recommendations
Tech stack

What powers Affinity Labs Project

Affinity Labs Project runs on TensorFlow.js, React, and Node.js.

Core stack

Primary technologies

TensorFlow.js

Image analysis

AI/ML
React

User interface

Frontend
Node.js

Recommendation API

Backend
Security and compliance

Security

User authentication
Data privacy
System architecture

Architecture

TensorFlow.js AI
React frontend
Core tools used

Tools

TensorFlow.js
React
Node.js
Production readiness

Launch details

Affinity Labs Project was prepared for launch with Image compression, Alt text, and TensorFlow.js.

Performance work

Performance

01
Image compression
API caching
Accessibility features

Accessibility

02
Alt text
Keyboard navigation
Deep-dive stack

Implementation

03
TensorFlow.js
React
Node.js
Project FAQ

Common questions

Answers about Affinity Labs Project, the launch, and the build decisions behind it.

Yes, for recommendations.

Affinity Labs Project Case Study | TensorBlue