Integrating AI and Drone Technologies to Support Humanitarian IT Infrastructure Teams in Crisis Response
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Integrating AI and Drone Technologies to Support Humanitarian IT Infrastructure Teams in Crisis Response
Bharathram Nagaiah
Email : bharathram.nagaiah@gmail.com
ORCID : 0000-0001-5732-2113
Abstract- In modern humanitarian emergencies ranging from natural disasters to armed conflicts connectivity and technological infrastructure are among the first services to collapse, hindering coordination and the delivery of aid. This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) technologies, when integrated with drone systems, can empower Humanitarian IT Infrastructure Teams to respond more effectively. Drawing on existing field use cases, academic literature, and technology innovation platforms, the paper presents a framework that utilizes AI-enhanced drones for rapid damage assessment, dynamic network deployment, and predictive analytics to inform decision-making. The research demonstrates that this integration significantly improves situational awareness, optimizes resource allocation, and facilitates rapid deployment in disconnected or hazardous zones. However, implementation comes with ethical, logistical, and regulatory challenges that must be addressed for scalable adoption.
Keywords: Drones, infrastructure. Machine learning, disaster response, humanitarian.