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International Journal of Science, Strategic Management and Technology

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SMART ACCIDENT DETECTION AND EMERGENCY RESPONSE SYSTEM WITH GSM-BASED CALLING AND AI VOICE ASSISTANT

AUTHORS:
Mariya Vishal C
Kishore S
D. Ramalakshmi
Mentor
Affiliation
Dept. of Information Technology Sathyabama Institute of Science and Technology Chennai, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Road traffic accidents of death on the planet is among the major causes of road traffic accidents. The delay in seeking is in most instances delayed. Medical attention to the victim is extremely threatened and jeopardized to the life of a person after the car accident. An emergency alert system crash can automatically identify an intelligent accident and a new proposed one and therefore an emergency notification can be sent in real time. The system will operate based on an accelerator sensor (ADXL345) to detect abrupt impacts. Arduino will make a call once it detects that a crash has been detected with a GSM module (SIM800L) making an emergency call (108). The voice assistant which is an AI-based one could have been considered as the most remarkable feature of this system. After the call is made, an already stored or dynamically created voice message relaying crucial details such as the type of accident that has occurred and the location of the car to the emergency workers is relayed, which resembles the announcement of an alive human being. In addition, the system will have a pulse and oxygen sensor (MAX30100) to alert on the health conditions of the driver. Taking into account post-abnormal vital in case the system takes precedence over emergency escalation, which occurs due to an accident. The system also has the capability of sending the appropriate location information via SMS with the optional GPS module (NEO-6M). This is a low-cost and mobile system, which enhances on the live reporting of crashes and bridges the gap, which cannot exist between the crash observation and the medical care provision. The solution can make it faster and smarter with the combination of sensor technology as well as automated AI-based communication emergency response that could be life-saving.

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C, M. V., S, K. & Ramalakshmi, D. (2026). Smart Accident Detection and Emergency Response System with GSM-Based Calling and AI Voice Assistant. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.218

C, Mariya, et al.. "Smart Accident Detection and Emergency Response System with GSM-Based Calling and AI Voice Assistant." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.218.

C, Mariya,Kishore S, and D. Ramalakshmi. "Smart Accident Detection and Emergency Response System with GSM-Based Calling and AI Voice Assistant." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.218.

References
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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