Contact person: Poker Hand Analysis Tool Development - Training Purposes

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Location: Pretoria, South Africa

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Hello,

I’m looking to collaborate with a skilled developer (or team) to create a Poker Hand Analysis Tool. The software should be capable of capturing poker hands directly from the screen and providing optimal action recommendations (check, bet, raise, fold, shove) in line with Game Theory Optimal (GTO) principles. This project is intended purely for training and study purposes—not for use in live online play.

Core Features Required:

1. Screen Capture & Card Recognition

Recognize hole cards, board cards, player stacks, pot size, and bet sizing via OCR / computer vision.

Compatibility with major poker clients is ideal, but functionality on replays, screenshots, or hand histories is sufficient.

2. Hand Evaluation & Equity Calculation

Identify board textures (dry, connected, paired, etc.).

Compute equities through Monte Carlo simulation or a built-in equity engine.

Factor in stack-to-pot ratio (SPR), player position, and betting actions.

3. GTO Strategy Integration

Link with solvers such as PioSolver or GTO Wizard (API or pre-solved trees).

Suggest actions with context-specific bet sizing options.

4. User Interface

Clean, intuitive desktop or web-based dashboard.

Should display:
• Recommended action
• Equity / hand strength
• Optional range visualization of opponents

5. Database & Review Mode

Archive analyzed hands for review.

Offer training functionality (manual hand input for solver-based feedback).

6. Technology Stack (open to your proposal):

OCR: OpenCV, Tesseract, or ML-based recognition.

Backend: Python, C++, or Node.js for heavy computation.

Frontend: Electron, React, or other modern UI framework.

Solver integration: PioSolver / GTO Wizard API (subject to licensing).

In your proposal, please include:

Estimated cost and delivery timeframe.

Suggested stack or tools you’d use.

Any previous experience with similar software.

Whether you can handle solver integration or prefer solver data to be supplied.

Excited to hear from experienced developers with backgrounds in poker software, AI/ML, or data recognition projects.

Thank you!" (client-provided description)