Automatic Forensic Analysis of Criminal Navigation System using Machine Learning

There are many crime situations witnessed in everyday life nowadays, and they are expanding at an alarming rate. We've been building an APP to assist police investigators and locate those criminals to find those crimes and reduce the crime rate. Its study and analysis are dependent on information provided by users of crime scenes. The given data will next be evaluated to determine whether the user's data is fraudulent or authentic. If the data provided is accurate, the user's location will be pinpointed and shared with the location of a nearby police station or officer, as well as an alert warning to others to be cautious of people who are close to that location. If there are any public casualties, it will notify and contact the nearest hospital and ambulance for assistance to the injured. If the user takes a photo of a criminal, it will be validated or examined by a criminal database to identify the criminal's details and call the police station closest to him. By doing so, the rate of crime can be minimized, and prompt actions can be made to solve crime scenes more effectively and quickly. This allows users and the general public to assist and learn about the nation's laws and offenses. The software is entirely based on user safety and is designed to assist investigators.