Abstract: A computer-implemented method generates an estimate of a real-time distribution density of wireless devices in a geographic area. The method includes receiving real-time network activity data collected at cell sites. The method includes processing the real-time network activity data with an ML model. The ML model is trained based on non-real-time network activity data indicating network activities as well as location data of wireless devices served by the cell sites. The ML model is configured to predict a real-time distribution of wireless devices in the geographic area at different points in time. The method includes predicting a real-time distribution of the wireless devices based on a pattern of network activities and locations of wireless devices. The method also includes generating an estimate of a distribution density of the wireless devices in the geographic area based on the predicted real-time distribution and adjusted by the real-time count of network activities.