OCR System for Live Poker Video — Master's Research Project I'm looking for an experienced developer to build a precise OCR/computer vision module for a master's research project. The system reads game data (card ranks, suits, player stacks, pot size) from a 1080p poker client video feed. Current setup: Video input: 1080p, 30fps Platform: Windows, Python What I need: High accuracy recognition of card ranks (A K Q J T 9–2) and suits on fixed screen regions Robust numeric OCR for stack/pot amounts (variable text) Must handle compression artifacts typical of video feeds. must handle normalization for more than 1 table analisis. In your proposal, please include: Final price for the complete module Which methods/approaches you would use to achieve the required precision Whether you have prior experience with OCR on live or recorded video, and briefly describe relevant projects Deliverable is a clean Python module integrating into the existing pipeline.