IKSHANA : Harnessing AI for Predictive Disaster Analysis and Helping Communities
Year: 2024
Type: article
Abstract: Disaster management stands as a critical domain for ensuring community safety amidst the escalating frequency and intensity of natural calamities. This paper scrutinizes IKSHANA, a web-based application engineered to tackle these exigencies through the provision of real-time disaster mapping, resource management, and communication utilities. Key facets of IKSHANA encompass its capability for dynamic disaster mapping, adept resource allocation mechanisms, and facilitation of seamless communication channels. Noteworthy advantages include the mitigation of human and material losses, optimized resource distribution, and expeditious dissemination of critical information. However, implementation hurdles such as limited technological penetration, organizational inertia, and resource constraints pose significant challenges. Despite these impediments, IKSHANA emerges as a potent instrument poised to elevate the efficacy and efficiency of disaster response endeavors.
Authors: ANURAG MT, Dr Raji Sukumar A
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6949043998
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