Develop AI-Powered OCR System for Real-Time Poker Table Data Extraction
Budget: $750 – $1,500 USD
I want to build a Python-based OCR system (or integrate AI) to automatically extract data from online Poker Table Software.
The goal is to read the following in real time or near real time from the screen:
- Hero’s hole cards and board cards
- Player actions (Fold, Call, Raise, All-in)
- Game phase (Preflop, Flop, Turn, River)
- Pot size and tournament info (BB, Ante, Avg stack, Rank, ITM)
You can use Tesseract OCR or any other tool that works reliably.
System should work from screen capture or via capture card.
Experience with poker software, OCR, and image processing preferred.
The goal is to read the following in real time or near real time from the screen:
- Hero’s hole cards and board cards
- Player actions (Fold, Call, Raise, All-in)
- Game phase (Preflop, Flop, Turn, River)
- Pot size and tournament info (BB, Ante, Avg stack, Rank, ITM)
You can use Tesseract OCR or any other tool that works reliably.
System should work from screen capture or via capture card.
Experience with poker software, OCR, and image processing preferred.