Crime Prediction and Analysis

Crime is one of the dominant and alarming aspect of our society. Everyday huge number of crimes are committed, these frequent crimes have made the lives of common citizens restless. So, preventing the crime from occurring is a vital task. In the recent time, it is seen that artificial intelligence has shown its importance in almost all the field and crime prediction is one of them.However, it is needed to maintain a proper database of the crime that has occurred as this information can be used for future reference. The ability to predict the crime which can occur in future can help the law enforcement agencies in preventing the crime before it occurs. The capability to predict any crime on the basis of time, location and so on can help in providing useful information to law enforcement from strategical perspective. However, predicting the crime accurately is a challenging task because crimes are increasing at an alarming rate. Thus, the crime prediction and analysis methods are very important to detect the future crimes and reduce them. In Recent time, many researchers have conducted experiments to predict the crimes using various machine learning methods and particular inputs. For crime prediction, KNN, Decision trees and some other algorithms are used. The main purpose is to highlight the worth and effectiveness of machine learning in predicting violent crimes occurring in a particular region in such a way that it can be used by police to reduce crime rates in the society.