Abstract- Crime is most important factor in smart city.Crimes now days are expanding step by step and withvarious degree of force and flexibility. The result is greatloss to society in terms of monitory loss, social loss andfurther it enhances the level of threat against the smoothlivelihood in the society. Crime analysis will be to generatethe crime hot-spots that will help in deployment of police atmost likely places of crime for any given window of time, toallow most effective utilization of police resources. Toovercome this problem the computing era can help toreduce the crime or even may be helpful in predicting thecrime so that sufficient measures can be taken to minimizethe loss to property and life. The crime rate expectationmethodologies can be connected on chronicled informationaccessible in the police records by looking at theinformation at different points like reason of crime,recurrence of similar kind of crimes at specific locationwith other parameters to prepare model the crimeprediction also in proposed system Fake crime detection,Shows Shortest Distance route from current place to policestation on map. We developed this system for monitoringcrime in smart city as well as try to reduce crime inparticular area.Keywords- Crime analysis, Cloud computing, Naive Bayes,Police Station