The work carried out in dissertation was “Crime Prediction using Machine Learning” in which different Data sources for crime in India were selected. To predict the crime related to women, we have proposed a Machine Learning based model using Linear Regression. Performance of the proposed model is evaluated by MAE, MSE and RMSE and finding shows in 2025 rape cases is increases by [ 38.37547068] % than the 2010 and the statistics also shows that the reported rape cases are increasing yearly.

• The statistics results show that Majority of cases are against young girl age in between 18 to 30. 

• In addition to this, we have also analyzed the rape cases reported state-wise in arranged manner which show clear picture of number of cases reported in any state.

• The statistics also depicts the top ten safer states and top ten unsafe states.

• The proposed work has Mean Absolute Error (MAE), Mean Squared Error (MSE) and 

• Root Mean Squared Error (RMSE). The value of MAE is 99.11, MSE is 98.98 and RMSE is 96.24.

 Technology: Used python as programming language on Jypter notebook.