Abstract

Personal safety has become a critical concern in modern society, particularly for individuals in remote or isolated environments where communication infrastructure is limited or unavailable. Existing emergency alert systems predominantly rely on internet connectivity or cellular networks, which may fail during crucial situations such as natural disasters, rural travel, or network outages. To address these limitations, this paper proposes a Personal Safety System using Long Range (LoRa) communication and Artificial Intelligence (AI) for reliable and real-time emergency alert transmission in offline conditions. The proposed system is designed to operate independently of traditional communication networks by utilizing LoRa technology, which enables long-distance, low-power wireless communication. The system incorporates an AI-based mechanism to detect emergency conditions through user input or predefined triggers such as voice commands or abnormal situations. Upon detection of an emergency, the system immediately transmits an alert signal along with the user’s location details to a predefined receiver using LoRa communication. The architecture of the system includes a microcontroller-based hardware setup integrated with LoRa modules, sensors, and AI-enabled software components for intelligent decision-making. The implementation ensures rapid response, minimal power consumption, and reliable communication over extended distances, making it highly suitable for real-world safety applications. Experimental results demonstrate that the proposed system successfully delivers emergency alerts in areas with no network coverage, ensuring timely assistance and improved safety. This system can be effectively applied in women safety, disaster management, rural communication, and personal security systems, providing a scalable and efficient solution for modern safety challenges.

Keywords

Personal Safety, LoRa Communication, Artificial Intelligence, Offline Alert System, Emergency Communication, Wireless Sensor Networks, IoT-Based Safety, Long-Range Communication.