Ionic liquids (ILs) have been receiving special attention since the mid-1990 owing to their unique physiochemical characteristics. Ionic liquids are currently used as a green solvents intended to replace conventional volatile solvents and hold a significant promise for applications in energy storage. This thesis contributes to the chemical engineering industry by undertaking a comprehensive study, aiming to develop a model capable for predicting the melting point of the ILs using Group Method of Data Handling (GMDH). The developed model resulted with 𝑅 2 value of 0.78 with an approximate root mean square error (RMSE) of 36 K, providing valuable insights and predictive capabilities for the chemical engineering industry.