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Simo Messek's Projects

ea_games_vax_man_cpp_version icon ea_games_vax_man_cpp_version

The second challenge of the Electronic Arts Software Engineering Virtual Experience Program is my customized C++ version of the Vax-man game.

ea_games_vax_man_python.3 icon ea_games_vax_man_python.3

The first challenge of the Electronic Arts Software Engineering Virtual Experience Program is my customized Python version of the Vax-man game.

ibm_prediction_of_gamers_behavior_algorithms icon ibm_prediction_of_gamers_behavior_algorithms

This program summarizes the findings and conclusions reached while predicting gamer behavior in commercial gaming datasets. It specifically employs Variable-Order Markov (VOM) to construct a probabilistic model capable of inferring what gamers' upcoming actions will be based on their historical behavior. Being able to accurately forecast the next user's activities may be of particular relevance in order to learn from the behavior of players, increase engagement, and minimize churn. To accommodate a high volume and velocity of data, the system is constructed on top of the Hadoop environment, with real-time processing handled by HBase; and the prediction tool is delivered as a service (SaaS) and accessible via a RESTful API.

webcam-pulse-detector icon webcam-pulse-detector

A python application that detects and highlights the heart-rate of an individual (using only their own webcam) in real-time.

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