This paper is published in Volume-11, Issue-3, 2025
Area
AI Application
Author
Aryav Goyal, Isha Goel
Org/Univ
Manipal University Jaipur, Jaipur, Rajasthan, India
Keywords
Artificial Intelligence, Geo-Location, Geo Data, Geo-Fencing, Women And Children Safety, Community Service, Emergency Response System
Citations
IEEE
Aryav Goyal, Isha Goel. Re-Imagining Emergency Response System with Geo Fencing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aryav Goyal, Isha Goel (2025). Re-Imagining Emergency Response System with Geo Fencing. International Journal of Advance Research, Ideas and Innovations in Technology, 11(3) www.IJARIIT.com.
MLA
Aryav Goyal, Isha Goel. "Re-Imagining Emergency Response System with Geo Fencing." International Journal of Advance Research, Ideas and Innovations in Technology 11.3 (2025). www.IJARIIT.com.
Aryav Goyal, Isha Goel. Re-Imagining Emergency Response System with Geo Fencing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Aryav Goyal, Isha Goel (2025). Re-Imagining Emergency Response System with Geo Fencing. International Journal of Advance Research, Ideas and Innovations in Technology, 11(3) www.IJARIIT.com.
MLA
Aryav Goyal, Isha Goel. "Re-Imagining Emergency Response System with Geo Fencing." International Journal of Advance Research, Ideas and Innovations in Technology 11.3 (2025). www.IJARIIT.com.
Abstract
Despite the existence of emergency hotlines, many distress calls go unanswered, leaving individuals in urgent need without timely assistance. This study proposes a system designed to enhance the speed and reliability of Emergency Response Services(ERS). By integrating advanced technologies such as signal triangulation, Geo-fencing, Geo-location, predictive AI, and Geo data analytics, the system aims to provide more accurate and faster responses. The approach works within India’s current governance framework and collaborates with community networks to improve safety, particularly for vulnerable groups like women and children. The proposed system’s objectives include reducing the response time for emergency services, ensuring that help reaches those in need quickly, and strengthening overall crisis management. By leveraging predictive AI and Geo data, it optimizes response times. This study presents an innovative solution for improving emergency services, making them more inclusive, effective, and contributing to the overall safety of communities.