Abstract

Abstract: Physical assaults and other forms of violence against women have increased in recent years. The increasing number of women working in industries and other commercial sectors has made it necessary for them to travel at odd hours and visit remote and isolating places as part of their jobs. Defence is not the sole tactic that can be sufficient to stop this growing misuse. It is necessary to come up with a security strategy that gives women a means of safety. As a result, a more straightforward safety solution is required, one that may be triggered by merely pressing a button and that can immediately notify the victim's loved ones. Therefore, the project's main focus is on a safety system that is made for women so that they never feel helpless while facing a security threat it is specifically designed to give women protection and safetyso they never feel powerless in the face of such social issues. A machine learning algorithm is used to enhance the responsiveness of an android application that records women's live whereabouts and includes voice activation, crowd space rating, emergency hotline numbers, and safe route suggestions. Giving users access to current information about locations where other people have expressed safety concerns is the goal. The program wouldautomatically sound a warning when approaching such regions in order to increase user awareness and encouragea proactive approach to personal safety

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