Blast induced ground vibration is a crucial parameter in determining safe charge levels and minimising the damage to the surrounding structures. A number of empirical equations have been proposed for prediction of peak particle velocity (PPV), but no empirical formula has yet been established for the prediction of frequency. In order to minimise the blast damage and the blasting related loss, it is important to study the parameters influencing blasting. In the present case, the adaptive neuro-fuzzy interface system (ANFIS) model was used to predict the PPV and frequency using blast design, rock properties and explosive parameters from the Northern Coal Field open pit mine in MP, India. Results were also compared using multivariable regression analysis (MVRA) to further prove prediction capability. The ANFIS approach shows very good prediction capability for PPV and frequency. The coefficients of correlation between predicted and measured PPV and frequency are 0?9986 and 0?9988 respectively.