Local volatility models are used in financial engineering to better price derivatives than the traditional Black-Scholes model. These models treat volatility as a function of asset level and time, allowing for more accurate pricing of exotic options. By using a local smoothing method, researchers were able to estimate implied and local volatility surfaces, improving pricing performance for various options. The proposed calibration method for local volatility jump diffusion models also showed promising results in estimation and prediction.