Crime Reporting and Analysis Using Machine Learning

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Ms. Ambadi Vijetha, Suraj Singh Chauhan, Bhavani Chennochi, Aditya Varma Chirivuri


Crime is a global issue that can have a negative social and economic impact on a country. Controlling crime is a necessary first step. It is necessary for a country's wellbeing and long-term growth. We are well aware of the difficulty in identifying criminals and the sensitive regions that they are consistently harming in the digital world. Every country's police forces are constantly pacing themselves to keep up with crimes, criminals, and their methods. For police department personnel, the challenge of investigating a lot of data about crimes and offenders has grown significantly. Crime control is a laborious procedure that requires a methodical strategy in order to identify, investigate, and predict the offences that will assist lower the crime rate. In order to discover and analyse patterns and trends in crime, this article studies machine-learning-based crime analysis and reporting. Our algorithm can identify places with a high likelihood of crime and also depict crime-prone zones. Crime data analysts can aid law enforcement officials in hastening the process of solving crimes as more and more systems are being digitised. As a computer-based system, it will readily meet the needs of police stations and provide a solution to the issues they encounter. Both the user and administrative personnel of the Police Stations will profit from its correctness, security, reduced redundancy, lowered workload, backup facilities, and speedier information retrieval features.

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