Real Time Women’s Safety Companion

Ensuring women's safety in public and private spaces remains a pressing global concern, with rising incidents of harassment, assault, and gender-based violence. Traditional safety measures such as mobile applications and emergency hotlines often fall short due to delayed response times, network dependency, and the unavailability of a smartphone in critical situations. This paper proposes The Real-Time Women’s Safety Companion, an AI and IoT-powered wearable device designed to provide proactive protection by detecting verbal and physical threats in real-time. The device leverages Artificial Intelligence (AI) for speech emotion recognition, Natural Language Processing (NLP) for aggressive tone detection, and Computer Vision (CV) for movement analysis, ensuring early identification of potential threats. Additionally, the wearable integrates GPS tracking, live audio-video streaming, and an SOS gesture-based activation system, enabling seamless distress communication with emergency contacts. To provide immediate deterrence, the system incorporates a mild electric shock mechanism, discouraging potential attackers. The proposed solution not only enhances real-time safety but also contributes to data-driven insights by identifying high-risk zones using machine learning algorithms. This paper presents a comprehensive analysis of the system’s architecture, methodology, performance evaluation, and future scope, emphasizing the impact of AI and IoT in revolutionizing women’s safety solutions. Experimental results demonstrate the efficiency of real-time threat detection, rapid emergency alert transmission, and the effectiveness of the deterrent mechanism, showcasing a significant improvement over conventional safety application.