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         <h2>On-Going Projects</h2>
-        <h3>3D Face Model for Surgical Simulation and Visualization</h3>
+        <h3>LLM aided Digital 3D Human Face Sculpting System for Aesthetic Surgeon Pre-operative Planning</h3>
         <p>
-          This project aims at developing facial surgery simulation software named Simbase using 3D face model to simulate and visualize the post-surgery effect of face PDO thread-lifting micro-surgery. The main function of this software is using the system predefined "Facial Sculptor" tool to manipulate the expected shape of the 3D face model through the slider. Method used in the project may ranging from Finite Element Method(FEM) to Linear Elasticity method such as Regularized Kelvinlets. The developed software will be used at aesthetic clinic used by the surgeon acting as a communication tool with the customer pursuing for a better plastic surgery planning experiences. 
+          Digitally sculpting 3D human face is a very challenging task for aesthetic clinic surgeon during plastic surgery pre-operative planning for patients.
+          Currently, most plastic surgery simulation software relies heavily on predefined user interface, such as slider bars, to manipulate the shape of the 3D human face.
+          These systems frequently require significant manual effort, technical expertise, and a trial-and-error approach, which can be time-consuming in predicting surgical outcomes.
+          In the era of rapid advancements in artificial intelligence (AI), there is an opportunity to create a more intuitive, efficient, and adaptive system tailored to the specific needs of aesthetic surgeons.
+          Leveraging Large Language Models (LLMs) offers a promising avenue for enhancing the interaction between users and 3D sculpting tools.
+          By integrating LLMs, surgeons can potentially describe their desired modifications in natural language, enabling the system to interpret and implement changes dynamically. This paradigm shift could make 3D sculpting more accessible, and personalized, revolutionizing pre-operative planning workflows.
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