AI-Driven Poker Game Extraction & Automation
Budget: $3,000 – $5,000 USD
Job Description: Software Developer for Poker Automation System
Title: Poker Data Extraction & AI Integration Software Engineer
Location: Remote
Job Type: Contract/Freelance
Job Overview
We are seeking an experienced software developer to build a system that extracts real-time game data from a poker client, sends this data to an existing AI model, and executes the AI’s recommended actions back in the poker game. The ideal candidate should have expertise in network packet analysis, computer vision (if OCR is needed), and automation tools.
Responsibilities
Develop a software tool to extract game state information (cards, bets, players, actions, etc.) from a poker client.
Implement communication between the poker data extraction tool and an existing AI decision-making system using the GIP2 protocol.
Develop an automation module to execute AI-recommended moves in the poker client.
Ensure compliance with data security and anti-detection measures.
Optimize data extraction for speed and accuracy.
Implement robust error handling and logging mechanisms.
Test and debug software for different poker platforms.
Requirements
Proficiency in Python, C++, or Java (for low-level data extraction).
Experience with network traffic analysis (e.g., Wireshark, TCP/IP packet sniffing).
Knowledge of screen scraping, OCR (e.g., Tesseract, OpenCV), or API interception.
Familiarity with automation frameworks (e.g., Selenium, AutoIt, PyAutoGUI).
Experience integrating with AI models via APIs or sockets.
Understanding of GIP2 Protocol (as described in the provided documentation).
Strong problem-solving skills and ability to work independently.
Nice to Have
Experience with poker software and game mechanics.
Familiarity with machine learning/AI models for game decision-making.
Experience with cloud-based deployment (AWS, Google Cloud).
Compensation
Hourly rate or fixed project rate, negotiable based on experience.
Title: Poker Data Extraction & AI Integration Software Engineer
Location: Remote
Job Type: Contract/Freelance
Job Overview
We are seeking an experienced software developer to build a system that extracts real-time game data from a poker client, sends this data to an existing AI model, and executes the AI’s recommended actions back in the poker game. The ideal candidate should have expertise in network packet analysis, computer vision (if OCR is needed), and automation tools.
Responsibilities
Develop a software tool to extract game state information (cards, bets, players, actions, etc.) from a poker client.
Implement communication between the poker data extraction tool and an existing AI decision-making system using the GIP2 protocol.
Develop an automation module to execute AI-recommended moves in the poker client.
Ensure compliance with data security and anti-detection measures.
Optimize data extraction for speed and accuracy.
Implement robust error handling and logging mechanisms.
Test and debug software for different poker platforms.
Requirements
Proficiency in Python, C++, or Java (for low-level data extraction).
Experience with network traffic analysis (e.g., Wireshark, TCP/IP packet sniffing).
Knowledge of screen scraping, OCR (e.g., Tesseract, OpenCV), or API interception.
Familiarity with automation frameworks (e.g., Selenium, AutoIt, PyAutoGUI).
Experience integrating with AI models via APIs or sockets.
Understanding of GIP2 Protocol (as described in the provided documentation).
Strong problem-solving skills and ability to work independently.
Nice to Have
Experience with poker software and game mechanics.
Familiarity with machine learning/AI models for game decision-making.
Experience with cloud-based deployment (AWS, Google Cloud).
Compensation
Hourly rate or fixed project rate, negotiable based on experience.