Work Automator V1.0

A custom-built automation suite I developed to streamline the production of sneaker-matching apparel, including smart color detection, bulk design creation, automated mockup generation, seamless e-commerce integration, and bulk product uploads.

Python | PyQt5 | Computer Vision | WooCommerce API | AI Integration | Image Processing | WordPress ...

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Goals

Create an intelligent automation platform that transforms the entire sneaker-matching apparel workflow from a manual, time-intensive process into a seamless, AI-powered pipeline.

1- Intelligent Color Detection

Upload sneaker image, automatically extract dominant colors using computer vision algorithms, and match them to existing t-shirt products in your inventory based on color similarity scores.

2- High-Performance Processing

Process hundreds of design variations by automatically changing colors in bulk, generating mockups for each variant, and organizing output files for efficient workflow management.

3- Seamless E-commerce Integration

Automatically upload complete products to WooCommerce with images, descriptions, categories, attributes, and SEO data without manual data entry or platform switching.

4- Intuitive Visual Workflow Management

Enable non-technical users to manage the entire workflow through visual interfaces with real-time previews, progress tracking, and drag-and-drop functionality.

5- Visual Product Template Management

Manage product collections and visually position design placement areas through drag-and-drop interfaces, enabling precise control over where designs appear on each product template.

6- Robust Configuration Management

Maintain project configurations, product templates, and workflow settings with automatic persistence and validation to ensure reproducible and error-free operations.

Challenges

Every automation goal required solving complex technical problems with innovative engineering solutions, advanced algorithmic approaches, and creative problem-solving patterns.

1- Complex Color Matching

Sneaker images have complex lighting, reflections, and multiple materials requiring LAB color space conversion and K-means clustering for perceptually accurate color detection.

2- Performance at Scale

Image color transformation and mockup generation are computationally expensive requiring multi-threaded processing and memory optimization for batch operations.

3- Multi-API Orchestration

Coordinating WooCommerce REST API, WordPress media uploads, and AI content generation services while maintaining data consistency and handling API failures.

4- Complex UI Engineering

Presenting complex multi-step workflows in intuitive PyQt5 interfaces while providing real-time feedback and maintaining responsive user experience throughout.

5- Real-Time Design Positioning

Creating responsive PyQt5 interfaces with real-time design positioning, draggable elements, and visual feedback while maintaining accurate coordinate mapping for bulk processing.

6- Data Pipeline Integrity

Managing JSON-based configuration systems with schema validation and template inheritance while ensuring data integrity throughout complex automation workflows.

Success Criteria: Reduce 4-5 hours manual workflows to 20 minutes automated processes while improving accuracy, consistency, and scalability. Enable non-technical users to manage complex e-commerce operations through intuitive interfaces.

Watch Demo Video

Technical Modules Deep Dive

Module 1: Computer Vision Engine

Project Initializer

Advanced computer vision module implementing K-means clustering in LAB color space for perceptually accurate color extraction from complex sneaker images with automatic background removal and product matching algorithms.

→  K-means clustering with scikit-learn for dominant color extraction

→  LAB color space conversion for perceptual accuracy

→  Advanced background removal with adaptive thresholding

→  Similarity scoring algorithm for product matching

→  Real-time preview with PIL/Pillow optimization

→  Batch processing with progress tracking

Module 2: Content Management System

Product Manager

Comprehensive product lifecycle management with visual WYSIWYG editor, dual-mode editing (visual/code), and WordPress-compatible HTML generation using PyQt5's rich text capabilities.

→ Custom PyQt5 widgets with QTextEdit rich text editing

→ Visual/code mode toggle with synchronized content

→ WordPress-compatible HTML generation and cleanup

→ Template-based content structure

→ Product collection organization with hierarchical data

→ Meta data management and validation

Module 3: Image Processing Pipeline

Bulk Color Changer

High-performance image processing engine with advanced color transformation algorithms, multi-threaded batch processing, and quality preservation techniques for massive design variations.

→ Perceptually uniform color replacement algorithms

→ Multi-threaded processing with concurrent.futures

→ Memory-efficient batch operations with lazy loading

→ Real-time preview with difference highlighting

→ Quality preservation through smart resampling

→ Progress tracking with QProgressBar integration

Bulk-Color-Changer
Mockups-Generator

Module 4: Automated Design Composition

Mockups Generator

Intelligent design overlay system with automated positioning, perspective correction, and template-based mockup generation using advanced image compositing algorithms.

→ Template-based design positioning with coordinate mapping

→ Automated perspective transformation and scaling

→ Smart shadow and lighting adjustment algorithms

→ Batch mockup generation with queue management

→ Multiple export formats with compression optimization

→ Quality validation and error recovery

Module 5: E-commerce API Integration

Bulk Product Uploader

Enterprise WooCommerce integration with AI-powered content generation, featuring 2025 AI search optimization, schema markup, and automated product relationship management.

→ WooCommerce REST API client with connection pooling

→ AI-generated SEO content with GSO/GEO/AEO optimization

→ Schema.org structured data generation

→ Automatic retry logic with exponential backoff

→ Product relationship automation (upsells/cross-sells)

→ Comprehensive error handling and logging

Products Uploader
Settings

Module 6: AI Content Generation

Content Generation

Multi-provider AI integration with template-based category creation, automatic SEO optimization, and WordPress REST API deployment with image processing pipeline.

→ Multi-LLM provider abstraction (OpenAI, Anthropic, Local)

→ Template-driven content generation with variable substitution

→ Automatic SEO meta generation and optimization

→ WordPress REST API integration with media upload

→ Image optimization and WebP conversion

→ Bulk category management with hierarchy support

Module 7: Configuration Management

Settings Manager

Comprehensive configuration system with multi-provider AI management, JSON template editing, visual/code dual-mode interfaces, and application settings persistence.

→ JSON schema validation with error reporting

→ Multi-provider AI service configuration

→ Visual template editor with syntax highlighting

→ Settings persistence with backup mechanisms

→ API key management and validation

→ Template version control and migration

Configuration
Products processed per Day
+ 0
Color Accuracy
0 %
Integrated Automation Modules
0
API Reliability
0 %