The issue of women safety is of paramount concern in the world today, and the increase in crime rate requires new technological solutions to this problem. In this paper, I am going to showcase a comprehensive women safety web application created with React.js, Node.js, and Firebase to increase the safety of users with the help of real-time monitoring and the threat evaluation. Some of the protective features incorporated in the system are real-time GPS tracking, automatic audio recordings in case of an emergency, crime heatmap visualization using historic data, safe route based on dijkstra’s algorithm with crime weightage, and vehicle authentication using a license plate verification system. One of the unique features is the ability to combine Sahaaya, an AI-based chatbot, with the implementation of the Gemini API of Google in emergency counselling, and a hidden simulated fake phone call option that allows escaping a situation. The application runs on Socket.IO, which is used to conduct real-time communication and Azure Cloud, which provides a secure storage of data. Installed in three agile sprints, the system was completed at 100 percent covering all testing validation. By making women freer to move, Sahay supports the United Nations Sustainable Development Goals 5 (Gender Equality) and 11 (Sustainable Cities and Communities) as well as assists to make cities safer. The performance testing shows sub-2 seconds page load and 200-500ms API response time and user acceptance testing scores 4.5/5 ratings