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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.

The proposed Personal Safety System using LoRa and Artificial Intelligence (AI) successfully addresses the limitations of existing network-dependent safety solutions. By integrating offline AI-based voice recognition with long-range LoRa communication, the system ensures reliable and timely emergency alert transmission even in the absence of internet or GSM connectivity. The system is capable of automatically detecting distress situations through voice commands, while also providing a manual trigger mechanism for emergency activation.The implementation of the system demonstrates effective real-time performance with low power consumption and long-range communication capability. The integration of AI enhances the system by enabling intelligent and automatic emergency detection, reducing dependency on user interaction during critical situations. Furthermore, the use of LoRa technology ensures stable communication in remote and no-network areas, making the system highly suitable for real-world applications. Overall, the proposed system provides a reliable, efficient, and cost-effective solution for personal safety. It can be widely used in applications such as women safety, disaster management, and rural communication. The system contributes to improving emergency response and enhancing safety in critical situations.

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