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An AI Data Query Agent that convert the sales or marketing CSV file into tabular format and allows the user to asking questions according to sales, revenue, sold units, summaries and more.
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♠️ ClubGG Poker Automation & Desktop Client
I engineered a custom desktop application for the ClubGG poker platform, focused on automation, real-time table interaction, and intelligent seat recognition.
The application dynamically detects active poker tables, identifies player positions, adapts to different table layouts (3-max, 5-max, and 6-max), and provides a responsive interface for interacting with the game environment in real time.
The project required combining frontend development, desktop application engineering, UI automation, DOM inspection, coordinate mapping, and performance optimization to create a smooth and highly responsive user experience.
What I Built
• Dynamic poker table detection
• Automatic seat recognition and positioning
• Multi-table layout support (3, 5 & 6 players)
• Responsive desktop interface
• Real-time game state interaction
• Coordinate & screen mapping system
• High-performance automation logic
• Clean, scalable application architecture
Technologies Used
Electron
JavaScript / TypeScript
Node.js
HTML5 & CSS3
Desktop Automation
DOM Inspection
Real-Time UI Rendering
Performance Optimization
Project Highlights
✔️ Automated table recognition
✔️ Intelligent seat positioning system
✔️ Multi-layout compatibility
✔️ Fast and responsive desktop application
✔️ Production-quality architecture
✔️ Optimized for reliability and scalability
This project demonstrates my expertise in desktop application development, automation engineering, browser technologies, and building complex software that interacts with real-time systems while maintaining speed, accuracy, and reliability.
Great!!!!!🚀
I engineered a custom desktop application for the ClubGG poker platform, focused on automation, real-time table interaction, and intelligent seat recognition.
The application dynamically detects active poker tables, identifies player positions, adapts to different table layouts (3-max, 5-max, and 6-max), and provides a responsive interface for interacting with the game environment in real time.
The project required combining frontend development, desktop application engineering, UI automation, DOM inspection, coordinate mapping, and performance optimization to create a smooth and highly responsive user experience.
What I Built
• Dynamic poker table detection
• Automatic seat recognition and positioning
• Multi-table layout support (3, 5 & 6 players)
• Responsive desktop interface
• Real-time game state interaction
• Coordinate & screen mapping system
• High-performance automation logic
• Clean, scalable application architecture
Technologies Used
Electron
JavaScript / TypeScript
Node.js
HTML5 & CSS3
Desktop Automation
DOM Inspection
Real-Time UI Rendering
Performance Optimization
Project Highlights
✔️ Automated table recognition
✔️ Intelligent seat positioning system
✔️ Multi-layout compatibility
✔️ Fast and responsive desktop application
✔️ Production-quality architecture
✔️ Optimized for reliability and scalability
This project demonstrates my expertise in desktop application development, automation engineering, browser technologies, and building complex software that interacts with real-time systems while maintaining speed, accuracy, and reliability.
GREAT JOB 👍