Crime analysis and preventing is a viewpoint for analyzing and identifying trends and patterns in crime. Dawn the day of computerized systems, analysts may help the vigilant officials speeding up the process of criminal activities. With the help of data mining extracting previous useful information from an unstructured unknown data. Solving criminal activities faster by data mining, we have an approach between computer science and criminal justice. The model developed provides greater accuracy and accurate information is retrieved. In this context, we use data mining techniques and machine learning algorithms to analyze and predict the crime data. Initially unknown bulk data is collected from records of national crime bureau. .Using WEKA, pre-processing data includes data cleaning. Thus,classification algorithms such as Decision Tree are applied. To predict the crime rate, Decision Tree Algorithm is applied. The result is viewed using different visualization techniques and a model is built.