In this new era of technological advancements, the data generated are also becoming complex. This paper focuses on Mobile GPS real time data streams generated by the mobile devices all over the world. Based on that we are building a recommendation engine based on analyses of mobile GPS data that provides real time services to users based on patterns of activities being done by users in recent times. We propose a collaborative location and activity filtering recommendation engine, providing real time services to users, by filtering out, the service consumers and service providers, and shake hands between them to get benefited. We study and evaluate UNAVCO‟s real time GPS data streams taken from a subset of PBO having GPS data streams from more than 1100 stations that is available in different formats and provide different analyses of the GPS data. © 2016, International Journal of Pharmacy and Technology. All rights reserved.