Smart Women Safety Solution with Alert System Using Machine Learning Approach

The purpose of this research is to present a system with several location-based features. The goal is to inform consumers about the criminal history of a location they intend to visit using Google Maps in advance. Different zones are constructed and depicted on Google Maps based on the number of violent crimes that have occurred in a specific locality. The suggested system notifies the users whenever they reach potentially unsafe locations by delivering alarm notifications to their mobile phones using a machine learning approach based on DBSCAN (density-based spatial clustering of applications with noise). This method trains the model based on the percentage of dangerous sites which, in turn, is based on the crimes committed in any area. Our suggested model illustrates the risk of entering the danger area due to training. It also alerts the user when they step outside the danger zone. Along with these capabilities, the application offers a feedback section where users can flag risky places for inspection, write a comment and share their experiences with other users.