This project introduces an integrated software platform designed for the autonomous management and coordination of a drone delivery fleet within controlled environments, such as university campuses or small urban areas. The system automates the entire delivery lifecycle—from order processing and intelligent drone assignment to real-time telemetry tracking and monitoring via a web-based dashboard. At its core, the platform leverages artificial intelligence pathfinding techniques, specifically the $A^*$ and Dijkstra algorithms, to compute optimal delivery routes while dynamically adapting to constraints like battery levels, no-fly zones, and simulated environmental conditions. Built on a scalable microservices architecture and utilizing a hybrid SQL/NoSQL database approach, the system demonstrates significant improvements in routing efficiency and operational reliability, providing a flexible framework for future real-world autonomous logistics deployment. This work was conducted at Arab International University (AIU), Syria. The official website of the university is https://www.aiu.edu.sy