Women Safety Analytics – Protecting Women From Safety Threats

Abstract: Women’s safety is an important issue in today’s society, as women may face different types of risks in public places, workplaces, educational institutions, transportation, and online platforms. The proposed Women Safety Analytics system aims to use technology and data analysis to help identify and understand such safety risks. The system collects safety-related information, analyzes incidents based on factors such as location and time, and identifies areas or situations where the risk may be higher. It can also provide alerts and useful recommendations when potential threats are detected. The main purpose of the system is to support prevention and quick response rather than replace emergency services or human decision-making. By using data analytics and machine learning techniques, the system can convert collected safety information into meaningful insights that can help women, security personnel, administrators, and authorities. The project also considers important issues such as privacy, data security, false alarms, scalability, and the responsible use of monitoring technologies. Overall, the proposed system aims to support safer environments by using technology to understand safety patterns and provide useful information for better prevention and response.

Keywords: Women Safety, Safety Analytics, Machine Learning, Risk Detection, Threat Analysis, Location Analytics, Emergency Alerts, Data Privacy.