The work carried out in the dissertation was “Crime Prediction using Machine Learning," in which different data sources for crime in India were selected. To predict crimes 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 findings show that in 2025 rape cases increase by [38.37547068]% compared to 2010, and the statistics also show that the reported rape cases are increasing yearly.

• The statistical results show that the majority of cases are against young girls aged between 18 and 30. 

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

• The statistics also depict 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 a programming language on a Jupyter notebook.