International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Ensuring women’s safety in urban and semi-urban environments has become a critical societal and technological challenge. Conventional safety mechanisms often rely on manual reporting, delayed emergency calls, or single-channel alert systems, which may fail during high-stress or critical situations. This work presents an AI-Based Women Safety and Alert System that integrates real-time location tracking, intelligent alert processing, and multi-channel communication to provide immediate assistance during emergencies.
The proposed system enables users to trigger SOS alerts through a web or mobile interface, automatically sharing live location details with emergency contacts and nearby authorities. Artificial intelligence modules are incorporated to analyze incident patterns and support future prediction of unsafe zones. The system utilizes SMS, Email, and Push Notifications to ensure reliable alert delivery even under network constraints. Administrative dashboards provide real-time monitoring, alert logs, and response tracking for accountability.
Experimental evaluation demonstrates that the system significantly reduces emergency response time while improving reliability and transparency compared to traditional safety applications. The results indicate that AI-driven, multi-channel alert systems can play a vital role in proactive women safety solutions.

Keywords: Women Safety, SOS Alert System, Artificial Intelligence, Real-Time Location Tracking, Emergency Response, Smart Safety Systems.

Downloads: | DOI: 10.17148/IJARCCE.2026.15155