This thesis uses a blockchain-based technique to evaluate the legal and regulatory frameworks for digital assets in the metaverse. As virtual worlds and digital assets continue gaining popularity and economic significance, it is critical to address the legal concerns and regulatory loopholes in this expanding industry.

The goal of this thesis is to assess the transformative potential of AI and Machine Learning in the field of financial auditing. Through rigorous analysis, it aims to evaluate the impact on efficiency, accuracy, and ethical considerations, ultimately providing valuable insights and recommendations for the future of financial auditing practices.