Paper Title
Emergency sos application using AI Prediction Model
Article Identifiers
Authors
Rabbesubhani M Madras , Varsha Jadhav , Sneha k , Zuha M , Ruman
Keywords
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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How To Cite (APA)
Rabbesubhani M Madras, Varsha Jadhav, Sneha k, Zuha M, & Ruman (May-2023). Emergency sos application using AI Prediction Model. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), j293-j297. https://ijnrd.org/papers/IJNRD2305954.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : j293-j297
Other Publication Details
Paper Reg. ID: IJNRD_196564
Published Paper Id: IJNRD2305954
Downloads: 000121986
Research Area: Engineering
Country: Dharwad, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305954.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305954
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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