A Strategy for Identification and Prevention of Crime using various Classifiers

A crime is one of the society's most significant and pervasive problems; thus, preventing it is crucial. Large amounts of crimes are perpetrated often every day. This necessitates keeping notes of all crimes and establishing a database for them that may be consulted in the future. This project's primary goal is to demonstrate how law enforcement organizations can utilize machine learning to identify, anticipate, and solve crimes considerably more quickly, lowering the crime rate. Depending on the accessibility of the dataset, this is not just limited to DC but may also be utilized in other states and provinces.