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 ...

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


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


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
