This project aims to create a novel immersive visual analytics system to facilitate the exploration and insights generation of thousands of cultural heritage images. Criteria for students:  

• interest in immersive technology and cultural heritage,
• strong dedication, 
• basic knowledge of image analysis (e.g., segmentation, classification, clustering) and its technical skills (e.g., Python),
• experience in Swift programming or Unity is desirable,
• understanding of LLM/GenAI platforms and APIs is desirable.