KBD F5 is designed to be a new algorithm/idea of collecting, storing and utilizing the advanced data metrics and specifications. We collect the information about new custom data parameters. This data can be obtained, organized and implemented using Machine Learning and Analytics.
We will collect the advanced game info, then use it for developing specific training routines, tactics, player roles, thus improving the overall performance of the team. The idea is to maximize the output and that it can be attained by finding the optimum conditions using already existing data.
Basic idea is to divide the each half of kabaddi field into 30 zones. There will be 5 rows(1-5) and 6(A-F) columns. Now it makes us easier to group and understand what's happening in the ground without having to go through videos. It's stored in form of data.
Built With
- analytics
- datascience
- python
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