Women Safety Alert System Using Real-Time GPS Tracking and Secure Alert Transmission

Safety of women in public spaces has become one of the pressing issues that our society faces today. News reports from cities across India regularly highlight incidents where delayed response or lack of real-time location information made a difficult situation worse. Existing helpline numbers and basic mobile applications address only part of the problem. They neither track the caller’s location continuously nor maintain a secure, structured record of what happened. This project came out of that observation. We set out to build a Women Safety Alert System that combines live GPS coordinate capture, a secure login mechanism using JWT tokens, and a backend database that logs every alert with a timestamp. A registered user only needs to press one button. The moment that button is pressed, the app reads the device’s current GPS coordinates and sends them — along with the user’s identity token — to a Flask-based backend server running on Python. The server records the alert, stores the coordinates, and immediately dispatches notification messages to every emergency contact the user has saved in their profile. To protect user data, we applied bcrypt hashing on all passwords before storing them, and issued signed JWT tokens on successful login so that each subsequent API call could be verified without requiring the user to log in again. Performance tests showed the system handled 150 rapid requests while maintaining 99.3 percent reliability and an average alert processing time of 240 milliseconds. The architecture is built in a way that adding SMS gateway support or a live monitoring dashboard later would not require rebuilding anything from scratch.