Paper Title
NATURAL DISASTER PREDICTION SYSTEM
Article Identifiers
Authors
Harsh Vyas , Ankit Choudhary , Pushkar Matliwala , Priteshkumar Vijay Solanki
Keywords
ML,Python
Abstract
Natural Disaster Prediction System is a software system that aims to predict and warn about the occurrence of natural disasters such as earthquakes, hurricanes, floods, and wildfires. The project is designed to analyze data from various sources such as satellite imagery, weather sensors, and seismic activity to detect patterns and potential threats.The system utilizes machine learning algorithms to process the data and predict the likelihood and severity of a disaster in a particular area. The predictions are then communicated to relevant authorities and individuals through a variety of channels such as mobile notifications, email alerts, and social media updates .The primary objective of this project is to provide early warning and assistance to people in disaster-prone areas, enabling them to take necessary precautions and evacuate to safer locations in a timely manner .The system can also be used to coordinate emergency responses and allocate resources more effectively. Overall, the Disaster Prediction System has the potential to save lives, reduce property damage, and improve disaster preparedness and response efforts.The Natural Disaster Prediction System project represents a critical advancement in disaster management and mitigation efforts. By harnessing the power of cutting-edge technology and data analysis, Natural Disaster Prediction System aims to provide timely and accurate predictions of natural disasters such as earthquakes, hurricanes, floods, and wildfires. Through the integration of diverse data sources and the application of machine learning algorithms, the system ensures that decision-makers are equipped with the most up-to-date information to make informed choices.
Downloads
How To Cite (APA)
Harsh Vyas, Ankit Choudhary, Pushkar Matliwala, & Priteshkumar Vijay Solanki (March-2024). NATURAL DISASTER PREDICTION SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), e522-e526. https://ijnrd.org/papers/IJNRD2403464.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : e522-e526
Other Publication Details
Paper Reg. ID: IJNRD_216337
Published Paper Id: IJNRD2403464
Downloads: 000121983
Research Area: Engineering
Country: Vadodara, Gujrat, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403464.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403464
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
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
