Synthetic Data Generation for Healthcare AI: Balancing Realism and Privacy

Authors- Harsha.K

Abstract--The application of Artificial Intelligence (AI) in heritage preservation has emerged as a groundbreaking approach to safeguarding our cultural legacy. One of the most transformative innovations in this field is the 3D reconstruction of ancient monuments, which has the potential to not only digitally restore the intricate details of heritage structures but also provide valuable insights into their historical significance. This paper explores the integration of AI technologies, particularly machine learning, deep learning, and computer vision, in the process of reconstructing and preserving ancient monuments. Through case studies, we examine the advancements in AI-driven techniques that enable the creation of accurate, high-resolution 3D models of heritage sites, even those that have suffered severe degradation over time. These AI-powered tools assist archaeologists and historians in understanding the architectural and cultural nuances of ancient monuments, offering a virtual window into the past that can be accessed and studied by future generations. The paper further delves into the challenges faced in this domain, such as data acquisition, the complexity of ancient structures, and the ethical considerations in the use of AI for cultural preservation. Additionally, we discuss the future prospects of AI in heritage preservation, with a focus on enhancing accuracy, expanding the scope of AI applications, and ensuring the longevity of virtual reconstructions. This research aims to highlight the potential of AI as a key player in revolutionizing heritage preservation, ensuring that ancient monuments are not only preserved but are also revitalized for educational, cultural, and tourism purposes.

DOI: /10.61463/ijset.vol.13.issue2.395