Ensuring women’s safety remains a significant challenge worldwide due to increasing incidents of harassment and violence. With advancements in technology, IoT-based wearable safety devices have been developed to provide real-time tracking, distress alerts, and emergency response mechanisms. However, existing solutions have several limitations, such as manual activation dependency, network connectivity issues, energy constraints, and lack of AI-driven predictive analytics. Two hypotheses have been designed and confirmed that there is statistically significant association between women’s awareness of safety apps and their perception of feeling unsafe in public. It also presents an in-depth analysis of recent developments in IoT-based women safety devices, which highlighting their design, components, and functionalities. This paper has proposed a framework for using IOT-based device for women safety and also future research directions to enhance the reliability and effectiveness of such safety systems for women’s.