https://github.com/clary09/ai_size_chart_generator
https://github.com/clary09/ai_size_chart_generator
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/clary09/ai_size_chart_generator
- Owner: clary09
- Created: 2024-08-25T07:41:36.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-25T17:33:33.000Z (10 months ago)
- Last Synced: 2025-02-09T19:43:11.367Z (4 months ago)
- Language: Python
- Size: 24.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# AI-Powered Size Chart Generator
## Overview
The AI-Powered Size Chart Generator is a project designed to generate accurate size charts for apparel sellers with limited or inaccurate size data. The system utilizes user body measurements, previous purchase history, and return/exchange data to cluster similar body types and generate comprehensive size charts. The project also includes confidence scores for each measurement and allows for easy updating as new purchase data becomes available.
## Features
- **Data Utilization**: Uses a database of user body measurements (height, weight, chest, waist, hip, etc.) and analyzes users' previous purchase history and return/exchange data.
- **Clustering**: Clusters similar body types and their corresponding successful purchases to create accurate size charts.
- **Size Chart Generation**: Generates a comprehensive size chart for sellers, including measurements for different sizes (S, M, L, XL, etc.).
- **Confidence Scores**: Provides confidence scores for each measurement in the generated size chart.
- **Real-Time Updates**: Allows for easy updating as new purchase data becomes available.
- **Error Handling**: Includes sophisticated error handling to ensure robustness.
- **API Integration**: Integrates with real-world databases and APIs.
## Project Structure
```plaintext
├── data/
│ ├── raw/ # Raw data files
│ ├── processed/ # Processed data files
├── models/
│ ├── pretrained/ # Pretrained models for transfer learning
├── src/
│ ├── accuracy_validation.py # Module for accuracy validation
│ ├── batch_processing.py # Module for batch processing
│ ├── category_clustering.py # Module for category clustering
│ ├── return_simulation.py # Module for return simulation
│ ├── transfer_learning.py # Module for transfer learning
│ └── utils.py # Utility functions used across modules
├── tests/
│ ├── test_accuracy_validation.py # Tests for accuracy validation
│ ├── test_batch_processing.py # Tests for batch processing
│ ├── test_category_clustering.py # Tests for category clustering
│ ├── test_return_simulation.py # Tests for return simulation
│ ├── test_transfer_learning.py # Tests for transfer learning
├── README.md # Project documentation
├── requirements.txt # Python dependencies
└── main.py # Script to run the main application