Texas Hold'em — multiplayer poker with AI seats

2–9 players in real time, AI opponents at three difficulty levels, and a Monte-Carlo equity engine running live under your cards.

PythonWebSocketMonte-Carlo simulationAI opponents

GitHub

A browser-based multiplayer Texas Hold’em platform — no registration, type a nickname and sit down. Up to nine seats per table, any of them human or AI, with reconnection handling so a dropped connection doesn’t fold your hand.

The part I care most about is the probability layer: a Monte-Carlo simulation engine computes your live win equity as the board develops, a card tracker keeps the deck state visible, and the decision hints are derived from the numbers — not vibes. The AI opponents come in three difficulty levels and play the same probabilistic game you do.

Details that make it feel finished: adaptive background music that follows the state of the hand, spectator mode for busted players, responsive layout down to phones.