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IJNRD
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
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Impact Factor : 8.76

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Paper Title: Emergency sos application using AI Prediction Model
Authors Name: Rabbesubhani M Madras , Varsha Jadhav , Sneha k , Zuha M , Ruman
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IJNRD_196564
Published Paper Id: IJNRD2305954
Published In: Volume 8 Issue 5, May-2023
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Abstract: Emergency situations demand swift action to ensure the safety and well-being of individuals in distress. This abstract presents an innovative Android application designed to provide immediate assistance during emergencies by leveraging an AI prediction model. The application utilizes the power of artificial intelligence and predictive analytics to accurately predict emergency situations, assess their severity, and enable timely responses. By analyzing diverse data sources such as user inputs, real-time sensor data, and historical incident records, the AI model enhances the prediction accuracy, resulting in reduced response times and efficient allocation of resources. The proposed application aims to enhance emergency response capabilities, mitigate the impact of emergencies, and ultimately safeguard lives.
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Cite Article: "Emergency sos application using AI Prediction Model", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.j293-j297, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305954.pdf
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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
Publication Details: Published Paper ID:IJNRD2305954
Registration ID: 196564
Published In: Volume 8 Issue 5, May-2023
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Page No: j293-j297
Country: Dharwad, Karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305954
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305954
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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