The criminal justice system is in disarray due to the rise in cyberattacks.The essential task facing law enforcement authorities is comprehending the motivation behind crime and taking action against it.The purpose of this study is to demonstrate how artificial intelligence, machine learning, and predictive analysis with soft evidence may be utilized to classify criminal records currently on file, utilize metadata, and forecast crime.Additionally, by using the database to conduct intelligent case investigations, it would undoubtedly assist law enforcement and intelligence agencies.This would help society reduce crime by facilitating speedier and more efficient investigative procedures. By extracting the specific facts from the documents or records, it would also help the analyst monitor the associations and recent activity of different criminal components. Through this research, the prediction of the crime can be understood. Studying this subject makes it clear that the model's odds of making an accurate forecast are increased when it receives appropriate data. The study also attempted to determine the psychosocial aspects of the crime and the probable motivations behind an individual's involvement in it.
Jasleen Kaur Sabherwal Kirandeep (Fri,) studied this question.