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Poker-Analytics (Deployed)

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  • A direct implementation of hand strength estimation, hand potential, and effective hand strength functions for hands in No-Limit Hold’em (NLH) poker using enumeration methods in Python (information taken from this paper)
  • Developed Monte Carlo simulation-based functions for preflop hand analysis with a 3% margin of error and generated visualizations to display results
  • The Deuces library has been used for for game simulation, hand evaluation etc. Refer to poker_report.pdf for comprehensive information on all of the material and explanation of the code written for this project

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https://pokeranalytics-production.up.railway.app/

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Deployed Application - Implemented hand strength estimation, hand potential, and effective hand strength functions for NLH poker. Also, created Monte Carlo functions for preflop hand analysis.

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