ISSN :3049-2335

AI-driven Incident Response Systems for Crisis Management in Public Safety Operations

Original Research (Published On: 08-Jul-2025 )

Ravi

Adv. Know. Base. Syst. Data Sci. Cyber., 01 (08):1-9

Ravi : SV UNIVERSITY

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Article History: Received on: 08-Jul-25, Accepted on: 08-Jul-25, Published on: 08-Jul-25

Corresponding Author: Ravi

Email: ravindramvp@gmail.com

Citation: Ravi, Rajendra, Tarun, Jyotsna, Rahul, Jyothi (2025). AI-driven Incident Response Systems for Crisis Management in Public Safety Operations. Adv. Know. Base. Syst. Data Sci. Cyber., 01 (08 ):1-9


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Abstract

    

Abstract- The rising number of natural and man-made disasters has driven home the necessity of utilizing sophisticated technologies in incident response and public safety operations. Artificial Intelligence (AI), with its data processing capabilities, ability to learn, and real-time analytics, has been a revolutionary driving force in creating smart incident response systems. These AI-powered systems provide noteworthy benefits in identification, forecasting, and reaction to emergency events at better speed and accuracy than classical methods. These systems allow public safety organizations to analyze large volumes of diverse datasets—ranging from sensor feed and surveillance images to social media and emergency dispatch calls—in near real-time and offer situational awareness and actionable intelligence during crises.

This paper provides an in-depth analysis of AI-based incident response systems in public safety crisis management. It explores the technologies, data sources, and algorithms behind


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