Transforming Women Safety with Information Technology: A Mobile Real-Time Intelligence Framework

Abstract

Despite significant technological advancements, women's safety remains a pressing issue in modern society. Women face threats to their safety in various environments, including while traveling alone, on secluded roads, and in the workplace. Education plays a crucial role in empowering women and raising awareness about safety measures. Despite government and NGO efforts, violence against women continues to rise, with instances of harassment, abuse, eve-teasing, kidnapping, domestic violence, and rape persisting. While women have made strides in various fields, including sports, business, politics, and entertainment, safety concerns remain a significant challenge, especially for those working in the IT and corporate sectors, including night shifts. Sexual harassment in the workplace, including by supervisors or seniors, is a growing concern. Existing safety systems often overlook crucial features such as audio or video recordings, which could aid in identifying perpetrators and ensuring justice for women. To address these limitations, a Real-Time Intelligent System for Women's Safety is proposed, leveraging technologies such as machine learning, artificial intelligence, and data science. This system aims to provide sophisticated yet user-friendly safety features, including live location sharing with authorities and contacts, predicting safe routes, recording evidence, and offering legal rights guidance for women in distress.