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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66142
Volume:
10 |
7 |
Jul 2026
Pages:
1-5
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.

Department of Computer Science and Engineering
Don Bosco Institute of Technology

Department of Computer Science and Engineering
Don Bosco Institute of Technology

Department of Computer Science and Engineering
Don Bosco Institute of Technology

Department of Computer Science and Engineering
Don Bosco Institute of Technology
Department of Computer Science and Engineering
Don Bosco Institute of Technology
QuickSOS is a system that helps people get medical help quickly in emergencies.When users send an SOS their location is sent in time.This allows the closest available ambulance to be found and notified away. The system uses a formula to calculate distances. Some key features of QuickSOS include: Driver verification to ensure transportation , Live tracking of available ambulances , Management of emergency contacts , Alerts sent via SMS. By automating the allocation of ambulances and improving communication QuickSOS helps reduce the time it takes for help to arrive. This makes emergency healthcare more efficient. The system provides an easy-to-use solution for faster emergency responses and better public safety.
KEYWORDS
In this study the QuickSOS system was created. The QuickSOS system is an emergency ambulance response system. It uses GPS technology and the Haversine algorithm. It also uses Flask and SMS-based alert services. These things help the QuickSOS system give real-time emergency assistance. The QuickSOS system lets users send SOS requests. When users send SOS requests they can also send their location. This helps find the available ambulance. The ambulance can then be notified instantly. The QuickSOS system also does things. It verifies drivers. It monitors live ambulance availability. It manages emergency contacts. All these things help make emergency healthcare services The QuickSOS system is better than emergency response methods. It reduces effort. It minimizes communication delays. It improves ambulance response time. The QuickSOS system does this by using real-time location tracking. It uses automated ambulance allocation. It uses instant notification mechanisms. All these things make the QuickSOS system reliable. They make it scalable. They make it efficient. The QuickSOS system is a solution for emergency medical assistance. The results show that the QuickSOS system can enhance emergency response coordination. It can improve the effectiveness of healthcare support services. The QuickSOS system is very helpful, for emergency assistance.
[1] P. J. M., V. S., and S. P. M., “Elderly Companion Health Application for Emergency Monitoring and Assistance,” International Journal of Innovative Research in Technology, vol. 12, no. 3, pp. 145–151, 2025. [2] P. Chinnasamy, R. Kumar, S. Prakash, and M. Vignesh, “IoT-Based Emergency Alert and GPS Tracking System Using ESP32 and MQTT Protocol,” International Journal of Advanced Research in Science and Engineering, vol. 14, no. 2, pp. 88–95, 2025. [3] A. C., S. Ramesh, and P. Karthik, “Mobile-Based Ambulance and Hospital Bed Management System,” International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, pp. 210–216, 2025. [4] S. C., R. Kumar, and V. Narayanan, “Machine Learning Based Ambulance Route Optimization for Emergency Response,” in Proc. International Conference on Smart Healthcare Systems, 2025, pp. 120–126. [5] C. N. V., M. Pradeep, and K. S. Rao, “Accident Detection and Alert System Using Raspberry Pi and GPS Technology,” International Journal of Engineering Research and Technology, vol. 13, no. 8, pp. 302–308, 2024. [6] H. P. Harini and K. Chidambarathanu, “Intelligent Accident Detection and Severity Analysis System Using Artificial Intelligence,” International Journal of Advanced Computer Science and Applications, vol. 15, no. 6, pp. 75–82, 2024. [7] S. Kumar, R. Sharma, and A. Gupta, “IoT-Based Smart Emergency Response System for Real-Time Medical Assistance,” Journal of Emerging Technologies and Innovative Research, vol. 11, no. 5, pp. 455–462, 2024.
Publication Date
7/18/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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