SwiftAid: AI-driven emergency coordination and dispatch system
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Full Text |
Pdf
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Author |
Percy Okae, Ubaida Abdul-Fatahu and Ofori Amoah Darkwah
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e-ISSN |
1819-6608 |
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On Pages
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125-140
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Volume No. |
21
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Issue No. |
2
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Issue Date |
March 20, 2026
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DOI |
https://doi.org/10.59018/012623
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Keywords |
swiftaid, emergency management, artificial intelligence, mobile application, geolocation, web application.
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Abstract
SwiftAid is an AI-driven emergency coordination and dispatch system designed to enhance the efficiency and effectiveness of emergency response operations in Ghana. The system integrates mobile and web-based platforms to connect users, emergency personnel, and administrative agencies in real time. By leveraging a Large Language Model (LLaMA) for automated request prioritization and the Mapbox Distance Matrix API for proximity-based ranking, SwiftAid ensures that the most suitable and nearest responders are dispatched to incident locations. When a user submits an emergency request, the backend identifies all available responders within a 30 km radius, sends the list to the AI module for resource recommendations, and ranks them based on travel time to the scene. The system then selects the closest responders according to the AI’s recommendations, alerts them instantly, and provides the user with real-time tracking, estimated time of arrival, and responder details. This process significantly reduces delays caused by manual prioritization, miscommunication, and inefficient allocation of resources. The implementation of SwiftAid has the potential to transform emergency management in Ghana by improving response times, optimizing resource utilization, and strengthening coordination among emergency agencies. Ultimately, this work demonstrates how artificial intelligence and geolocation technologies can be integrated to deliver faster, smarter, and more reliable emergency response services.
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