TailorAI (Silhouette)

A full-stack AI tailoring platform that extracts body measurements from photos and connects them to a custom apparel catalog.

SILHOUETTE / FULL-STACK PLATFORM

From a photo to a better fit

Illustrative demo

Step 1 of 4

Start with an example silhouette

A synthetic profile shows the photo-to-measurement workflow. No photo is uploaded or analyzed here.

Synthetic silhouettes and fixed example measurements. No image is uploaded or processed.

Open on YouTube

Body measurements: 10+
More consistent: 40%
Catalog query latency: <200ms

About this project

Built a full-stack AI-powered custom tailoring platform using computer vision and the MERN stack, processing over 200 images to automatically extract more than 10 body measurements per user.

Implemented a Python computer vision workflow with landmark normalization, using scikit-learn and TensorFlow to improve measurement consistency by 40%.

Designed a scalable MongoDB schema and optimized REST APIs supporting over 150 catalog items, with query latency below 200 milliseconds. Built the responsive React frontend for the complete ordering experience.

How it works

USER PHOTOSImage input
CV LANDMARKSNormalized measurements
CUSTOM APPARELCatalog + ordering

Built with

Python
TensorFlow
scikit-learn
OpenCV
Node.js
React
MongoDB