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UTILIZING MACHINE LEARNING AND A NETWORK OF TRUST FOR CROWD AND TRAFFIC CONTROL AND FOR MAPPING A GEOGRAPHICAL AREA

Abstract:

A device may receive application data associated with transaction applications of client devices and transaction card data associated with transaction cards. The device may receive geographical data identifying a geographical area associated with users of the client devices and the transaction cards. The device may determine, based on the application data, the transaction card data, and the geographical data, location data identifying geographical locations of the users in the geographical area. The device may determine, based on the location data, quantity data identifying quantities of the users located on multiple paths of the geographical area. The device may process the geographical data, the location data, and the quantity data, with a machine learning model, to identify a path with less than a threshold quantity of users in the geographical area. The device may perform one or more actions based on the path.