A real-world clothing size recommendation system API inspired by SizeCharter.com.
This Flask-based REST API provides personalized size recommendations based on detailed body measurements and morphology, with intelligent analysis and real-world sizing logic for women’s, men’s, and maternity categories.

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Table of Contents

1. Overview
2. Features
3. Getting Started
4. API Usage
5. Input Parameters
6. Response Format
7. Algorithm Highlights
8. Examples
9. Contributing
10. License

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Overview

The SizeCharter Mimic API intelligently recommends clothing sizes based on:

• Comprehensive body measurements (chest, waist, hips, inseam, shoulders, neck, thigh, calf)
• Body morphology including body shape, abdomen shape, and hip shape
• Realistic health checks and measurement consistency warnings
• Multi-gender support: women's, men's, and maternity sizing rules

The API is designed for integration with any app or platform, offering JSON REST endpoints with CORS enabled.

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Features

• Advanced body shape inference using multiple body metrics
• Dominant measurement detection for personalized size impact analysis
• Morphology-based measurement adjustments for a tailored fit
• Health and consistency warnings to alert unusual inputs
• Multi-category sizing: women's, men's, maternity
• Lightweight Flask REST API with CORS support
• Ready for easy integration with web, mobile, or desktop apps

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Getting Started

Prerequisites

• Python 3.8+
• pip package manager

Installation

git clone https://github.com/foudhilriahi/sizecharter.git
cd Folder
pip install Flask Flask-CORS


python sizecharter_api.py







API Usage


Endpoint
bash
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POST /api/size
Content-Type: application/json
Example Request
json
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{
  "gender": "womens",
  "chest": 85,
  "waist": 68,
  "hips": 94,
  "shoulders": 40,
  "neck": 33,
  "thigh": 55,
  "calf": 36,
  "abdomen_shape": "hourglass",
  "hip_shape": "curved"
}