SAFEHER: Women Safety and Threat Analysis System

Author(s)	S. Jayanna, J. Pooja, Ch. Sai Sathwika, R. Raghava Ramya
Country	India
Abstract	Ensuring women's safety has become a major concern in modern society. Many existing safety applications depend on manual SOS activation, which may not be possible during critical situations when the victim is unable to access the device. To address this limitation, the proposed system introduces SafeHer, an intelligent women safety platform that uses Artificial Intelligence and Machine Learning techniques to automatically detect potential threats. The system continuously analyzes environmental audio signals, GPS location patterns, and risk levels of surrounding areas to identify abnormal or unsafe situations. The application interface provides a user-friendly platform that visually displays safe and risky areas using a color-coded map. The backend system processes data using machine learning models while securely storing user information and location history in a cloud-based database. When the system detects a potentially dangerous situation, it automatically sends an SOS alert along with the user’s real-time location to registered emergency contacts. By integrating real-time monitoring, intelligent analysis, and automated emergency response, SafeHer provides a proactive and reliable solution for improving women's safety.
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-04-06

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International Journal on Science and Technology