Description

For city safety and the quality of life for its citizens, crime risk prediction is essential. However, it is difficult to forecast crime risk in cities without labelled data. The collection of high-quality labelled crime data is not simple for many towns to do because of governmental laws and upkeep expenses. Particularly, although some cities may have a lot of labelled data, others can have less. By drawing information from a city with a wealth of data, it has been feasible to create a crime prediction model for a city without labelled crime data. However, the challenge is made worse by the inconsistent availability of pertinent background data between cities. For overcoming this crime happens in area by area develop a project to find the which area has the maximum number of crimes in India and also in India from which year to which year maximum and minimum crime rates in all states and also use the ML algorithm to predict the future crime part in that places and also calculate the accuracy for the SVM algorithms us