Women safety is a real-world problem everywhere around the world. The incidents of harassment, abuse, and violence are increasing day by day and are causing issues that lead to devastating consequences, which include physical harm, emotional trauma, and a sense of fear and insecurity among women, restricting their freedom and opportunities. By the influence of the existing technology, our approach to this project is to develop a mobile application that is intuitive, reliable, and a fast solution towards helping women during an emergency. Application layout is very intuitive therefore users are able to send alarms, share their geolocation and make emergency calls with a single tap. The application is connected to smartwatches to track heart rate and oxygen saturation levels. Our strategy involves employing the Isolation Forest algorithm, a machine learning technique, to identify irregularities in the user’s physiological data. An unexpected increase in heart rate or unusual trends could activate alerts. This proactive capability guarantees prompt reactions and assistance. Consequently, the app offers ongoing monitoring, immediate notifications, and health management, establishing itself as a reliable tool for women.