The amount of data has grown because of the widespread use of IoT applications in recent years. These apps have complicated data storage and administration. The efficient indexing and searching of large-scale data collections is a crucial and pressing issue. This work aims to examine practical applications in real-world scenarios and suggest a novel indexing technique. The Internet of Things (IoT) in the geographical domain offers information on time, position, and other data regarding monitored devices. The geographical Internet of Things is made practical by the combination of affordable sensors with real-time utilization. The proposed study aims to analyze the geographic applications of the Internet of Things in order to gather information. It enables the exchange of information between devices and the sharing of data from UAV drones with sensors. The concept is around utilizing unmanned aerial vehicles (drones) to transport authorized pharmaceuticals to isolated rural regions and marginalized populations.