A Novel Internet Of Things (IoT) Enabled Women Safety System Design with Emergency Alert Mechanism

The proliferation of Internet of Things (IoT) technology offers promising advancements in enhancing personal safety. This paper presents a novel IoT-enabled women's safety system with an emergency alert mechanism designed to detect and respond to distress situations in real-time. The system incorporates a wearable device equipped with GPS, accelerometer, microphone, and heart rate sensors, enabling continuous monitoring of the wearer's environment and physiological state. The data collected by these sensors is processed using advanced machine learning algorithms, ensuring high accuracy in detecting emergencies. Our proposed model demonstrates a significant improvement over existing solutions, achieving an accuracy of 97.54%. The system also features a rapid response time of 3.2 seconds, a low false positive rate of 1.92%, and extended battery life of 28.7 hours. Alerts are automatically sent to predefined contacts and emergency services, ensuring timely intervention. The results indicate that the proposed system is highly effective and reliable, providing a robust solution for women's safety. This research highlights the potential of IoT technology in creating smart, responsive safety systems that can operate efficiently in various environments.