The goal is to develop cognitive training for sports using Machine Learning. Using data extracted from frames of video of soccer matches, the project is to see whether ML can be used to determine patterns of player actions that lead to a goal. These patterns would be used in a virtual setting to train young soccer players to quickly understand the situations and follow the pattern resulting in a goal


Currently in work


  • Sports

Tools Used

  • Data Science Experience (DSX)

Data Science Techniques


  • Ability to use data from soccer matches to detect player patterns of the offensive soccer players leading to goals.  This data will be used for virtual reality training.

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