Abstract: In the contemporary world, ensuring women's safety remains a significant challenge due to the rising number of crimes. Despite technological advancements, women often feel insecure about stepping out alone, particularly during odd hours. Another critical issue is the tampering of evidence during criminal investigations, which delays justice. Existing safety solutions mostly provide reactive measures, sending alerts only after an incident occurs. This paper proposes an AI-powered, proactive software system that utilizes machine learning, computer vision, and IoT technologies. This system includes real-time video surveillance, weapon detection, and GPS tracking. Emergency alerts and live evidence were stored in the cloud for quick action and investigation. The proposed system aimed to offer a holistic, preventive safety mechanism for women. This system aims to enhance situational awareness and reduce response time, thereby creating a robust, proactive safety framework for women.

Keywords: Women’s safety, AI, Predictive crime alerting, Real-time monitoring.

| DOI: 10.17148/IARJSET.2025.12442