Amid the growing prominence of Holographic Projection technology in Vietnam’s technology trend, we introduce NEURAHOLO: an innovative system designed to convert 2D images into 3D models for holographic displays. The system compares two advanced image processing algorithms for background removal U²-net and Mediapipe Selfie Segmentation followed by PIFuHD for 3D model generation, and a 3D Led Holodisplay for visualization. Our evaluation on the Supervisely Person Dataset with over 1000 images resulted in an IoU score of 0.9309 for U²-net, outperforming Mediapipe Selfie Segmentation, which scored 0.8467. The Chamfer Distance was used to measure the accuracy of the 3D models, with an average error of just 0.986, thereby corroborating the system’s adeptness at precise 3D model re-creation.