WOMEN HAWK

Women’s safety remains a critical social issue worldwide, demanding innovative and proactive technological solutions. This research (i.e. Women Hawk) presents the design and development of a women safety application leveraging Internet of Things (IoT) devices to enhance personal security and provide rapid emergency response. The proposed system integrates wearable sensors (such as GPS) with a mobile application to detect distress signals through physiological and behavioral data. Upon identifying abnormal patterns—such as sudden changes in location, elevated heart rate, or abrupt movements—the system triggers automatic alerts. These alerts, containing real-time location and health data, are sent to pre-defined emergency contacts and nearby authorities via cloud connectivity. The application also includes manual emergency activation options such as an SOS button or voice command. This paper discusses the system architecture, communication protocols, data security considerations, and real-world implementation results. The research demonstrates how IoT-enabled solutions can provide a scalable, real-time, and reliable approach to improving women’s safety in various environmentsBuilt using the MEEN stack, including MongoDB, Express.js, React.js, IOT tracking device. Women Hawk ensures high performance, scalability, and efficiency.