WOMEN'S SAFETY IN THE IOT ERA: A SYSTEMATIC REVIEW OF CURRENT SOLUTIONS AND CHALLENGES

Women is an essential social and cultural value in any society. Sexual violence against women includes rape, molestation, harassment, and assault in the home. Many issues and people's lives could be made easier by the Internet of Things (IoT). The community has created solutions based on the Internet of Things to help women stay safe. This research delves further into the topic of machine learning, smart technologies, sensors, and Internet of Things (IoT) devices designed to keep women safe. The majority of these devices designed to keep women safe include pressure and pulse-rate sensors with an emphasis on safety, as shown in the research. To help women who are at risk avoid issues in the future, machine learning techniques including decision trees, hidden Markov models, and logistic regression are being used. Findings from in-depth research indicate that developing technology to streamline automatic alarm sending—while simultaneously increasing accuracy and decreasing the need for human intervention—is the best course of action. This study organizes the wearables, sensors, features, and technology of women's safety goods that are based on the Internet of Things. There are advantages to the Internet of Things (IoT) for women's safety, but there are also limitations and challenges. Additionally, this research suggests a building approach that zeroes in on critical features for women's Internet of Things safety devices.