Women Safety Analytics

Women's safety is still a major worry, and using wearable technology to monitor people in real time might make them feel more secure. The goal of this project is to use wearable device-integrated blood pressure (BP) and heart rate (HR) sensors to construct a women safety analytics system. The biometric data is continuously monitored by the system to identify any abnormal physiological patterns, such as abrupt increases in blood pressure or heart rate, that could signal danger or distress. This data is processed and analyzed by a mobile application, which then sends out alerts to authorities or emergency contacts if any unexpected trends are found. GPS monitoring for position sharing and machine learning algorithms for anomaly detection and predictive analytics are additional features. By offering real-time notifications and previous trend analysis to comprehend stress patterns, this technology guarantees quicker reaction times. The initiative prioritizes data privacy and user security while providing a holistic safety solution for women by integrating biometric analytics with communication protocols.