It is relatively difficult to play multiple hands of black simultaneously. There are many factors to consider in even 1 game, the pressure from the monetary risk, the deep strategy that is completely dependent on other players, as well as their seating, hand, bet, and many other minute details that make it extremely difficult to create a positive turnaround with multiple games.
In order to achieve a tremendous task like this, we've implemented a model that can flawlessly play multiple games of blackjack while maximizing the statistical probability of winning and ensure that you save your money and make even more.
We have deployed a pragmatic blackjack AI model to AWS which has been trained in over a million games of blackjack. We have then designed a front-end that reads raw data from a web socket to illustrate a sleek and beautiful user interface.
The greatest obstacle in our development has been the front-end develop, for many bugs occurred over the implementation of TCP. Raw data was able to be transferred to the user interface, but generated data once the AI model was implemented proved to be difficult to parse and transmit through the web socket.
In the future, we intend to continue the development of Pragmatic Blackjack AI by further reinforcing the model to be even more accurate, as well as scaling the functionality across a wider range of interfaces and websites. We also may implement models for other casino games to create a truly dynamic and powerful automated gambling app.
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