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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41573
Volume:
9 |
2 |
Feb 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Emergency applications have revolutionized emergency response systems by providing swift and efficient assistance, significantly enhancing user safety. Unlike earlier SMS-based models with basic location tracking, modern SOS applications integrate advanced functionalities, including real-time location sharing, multilingual support, offline accessibility, medical data storage, and hands-free activation. These improvements ensure effective emergency communication, particularly in remote or inaccessible regions. Additionally, some applications utilize mapping algorithms, such as Dijkstra’s algorithm, to identify the fastest route for emergency services, reducing response time and increasing efficiency. Other systems send distress alerts via SMS and email to emergency contacts and helplines, ensuring immediate intervention during crises . Recent technological advancements have introduced innovative features like offline location tracking, voice-activated emergency responses, and crowd-assisted rescue operations. Furthermore, artificial intelligence (AI) and machine learning (ML) are being integrated into SOS applications to predict emergencies, assess their severity, and allocate resources efficiently. Cloud-based infrastructure enhances data management and connectivity, facilitating seamless coordination between users, emergency centers, and first responders . As SOS applications continue to evolve, future developments will focus on enhancing predictive capabilities, automating response mechanisms, and improving accessibility. These innovations aim to strengthen emergency preparedness and optimize crisis management, ultimately saving more lives.
KEYWORDS
Publication Date
2/15/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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