We have successfully developed a comprehensive drone package delivery project using Python and machine learning technologies. In the recent decade, the drone package delivery industry has faced many challenges, along with improving performance, protection, and adaptability to numerous environments. This research paper addresses those problems via the combination of various technologies. It integrates five critical technologies: battery-level management, object detection, face recognition, weather prediction, and optimal site selection for industrial setups. It introduces a real-time battery level monitoring system for stable and uninterrupted operations, enhances overall reliability, and implements face recognition technology to enforce protection and prevent unauthorized usage. It embarks on the ability of drones to revolutionize the logistics industry. Our approach makes drone deliveries faster, sustainable, and more efficient, with the ability to help regions via medical deliveries, disaster relief, and e-trade while fostering environment focus. By accommodating artificial intelligence algorithms and machine learning models, we aim to help create a future in which drones become the new technology for efficient and dependable package delivery.