Abstract: Personal safety has become a major concern in today’s fast-paced and technology-driven society. With the increasing need for quick and reliable emergency response systems, there is a demand for applications that can provide immediate assistance during critical situations. The Threat Guard project is an AI-based personal safety web application designed to enhance individual security by enabling instant emergency alert generation and real-time user interaction.
Threat Guard is developed as a client-side web application using modern frontend technologies such as React, TypeScript, and Vite. The system allows users to trigger emergency alerts through a simple interface, activate audio and visual notifications, capture real-time evidence, and share live location details with registered emergency contacts. The application follows a component-based architecture, ensuring modularity, scalability, and ease of maintenance.
The system dynamically responds to user-triggered events without requiring full page reloads, providing fast response times and improved user experience. Emphasis is placed on simplicity, reliability, and performance to ensure effective operation during emergency scenarios. The project successfully demonstrates the practical implementation of an alert-based personal safety system and serves as a strong foundation for future enhancements such as backend integration, advanced threat detection, and mobile application support.
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DOI:
10.17148/IJARCCE.2026.151140
[1] Kavana S, Usha M, "AI BASED PERSONAL SAFETY APP WITH ADOPTIVE THREAT DETECTION," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.151140