Given the problem that in the field of medical plastic surgery, customers can not directly grasp the postoperative effect of plastic surgery before the surgery, this study proposes a three-dimensional (3D) face reconstruction and editing system for medical plastic surgery. Specifically, the system marks the feature points of the pictures uploaded by the user, aligns the input images with the 3D morphable model (3DMM), and then inputs the processed images into the pre-trained 3D face reconstruction network to obtain the 3D face model corresponding to the input images. After the system loads and renders this model, the user can edit the cheeks, bridge of the nose, and chin of the model to simulate the plastic surgery, and he/she can also save the model to view the diagnosis results. Finally, the reliability of the reconstruction effect, plastic surgery effect, and diagnosis results are tested. The experimental results show that the system is effective in reconstructing young and middle-aged faces, offering reconstructed models highly similar to the input images. The parts of the model remain smooth and natural after the plastic surgery, which means the effect of simulating the plastic surgery is achieved. After the correct face size is determined, the plastic surgery recommendations suggested by the diagnosis results are at the mm level, indicating that the plastic surgery results are highly reliable.