Paper Title

AI in Disaster Response: Real-time Predictions and Relief Management

Article Identifiers

Registration ID: IJNRD_301474

Published ID: IJNRD2410244

DOI: Click Here to Get

Authors

Piyush Sahu , Suruchi Upadhyay , Anita Singh , Janki Sharma , Ashu Nayak

Keywords

 Artificial Intelligence (AI), Disaster Response Systems, Real-time Predictions, Predictive Analytics, Machine Learning, Early Warning Systems, Geospatial AI (GeoAI), Satellite Imagery Analysis , Resource Allocation Optimization, Reinforcement Learning.

Abstract

Artificial Intelligence (AI) is revolutionizing disaster response through real-time predictions and efficient relief management. By leveraging predictive analytics, machine learning models, and real-time data, AI enables early warning systems, dynamic evacuation planning, and optimized resource allocation. This paper explores the latest advancements in AI-driven disaster management, including damage assessment through satellite imagery, social media analysis for situational awareness, and the use of reinforcement learning for logistics optimization. The integration of AI with Internet of Things (IoT) sensors and geospatial technologies (GeoAI) has further enhanced disaster prediction capabilities, allowing emergency response teams to act swiftly and accurately. Despite these advancements, challenges remain in data quality, ethical considerations, and human-AI collaboration. This study highlights successful applications and future research directions to ensure AI continues to enhance global disaster resilience. 

How To Cite

"AI in Disaster Response: Real-time Predictions and Relief Management", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.c329-c336, October-2024, Available :https://ijnrd.org/papers/IJNRD2410244.pdf

Issue

Volume 9 Issue 10, October-2024

Pages : c329-c336

Other Publication Details

Paper Reg. ID: IJNRD_301474

Published Paper Id: IJNRD2410244

Downloads: 000121207

Research Area: Science and Technology

Country: Naya Raipur , Chhattisgarh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410244.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410244

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 7 | July 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Current Issue: Volume 10 | Issue 7

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