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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | NATURAL DISASTER PREDICTION SYSTEM |
| Authors Name: | Harsh Vyas , Ankit Choudhary , Pushkar Matliwala , Priteshkumar Vijay Solanki |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_216337
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| Published Paper Id: | IJNRD2403464 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| 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. |
| Keywords: | ML,Python |
| Cite Article: | "NATURAL DISASTER PREDICTION SYSTEM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.e522-e526, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403464.pdf |
| Downloads: | 00040 |
| 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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Published Paper ID:IJNRD2403464 Registration ID: 216337 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: e522-e526 Country: Vadodara, Gujrat, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403464 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403464 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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