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Introduction

Generative Artificial Intelligence (AI) has revolutionized many industries, including architecture and 3D modeling. This technology allows designers to explore a wide range of design possibilities and generate creative solutions based on specified parameters. In recent years, the use of Generative AI in architectural design and 3D modeling has gained significant attention due to its ability to streamline the design process and create innovative and unique designs. This thesis aims to explore the potential of Generative AI in architectural design and 3D modeling, analyzing its applications, benefits, and limitations.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Generative AI in Architectural Design
2.2 Applications of Generative AI in 3D Modeling
2.3 Benefits of Generative AI in Architecture
2.4 Limitations of Generative AI in Architectural Design
2.5 Case Studies on Generative AI in Architecture
2.6 Comparison of Generative AI Tools for Architectural Design
2.7 Integration of Generative AI with Traditional Design Methods
2.8 User Experience in Generative AI Design Tools
2.9 Future Trends in Generative AI for Architecture
2.10 Ethical Considerations in Generative AI Design

Chapter 3: Research Methodology
3.1 Research Design and Approach
3.2 Data Collection Methods
3.3 Sampling Techniques
3.4 Data Analysis Methods
3.5 Validation of Findings
3.6 Research Ethics
3.7 Pilot Study
3.8 Research Limitations

Chapter 4: Discussion of Findings
4.1 Overview of Research Findings
4.2 Analysis of Data
4.3 Comparison with Existing Literature
4.4 Implications of Findings
4.5 Future Research Directions
4.6 Recommendations for Practitioners
4.7 Limitations of the Study
4.8 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Contribution to the Field
5.3 Implications for Practice
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview

Generative AI has changed the landscape of architectural design and 3D modeling, offering new ways to explore and innovate in the field. This thesis explores the potential of Generative AI in architecture, analyzing its applications, benefits, and limitations. The literature review provides an overview of existing research on Generative AI in architecture, highlighting key trends and future directions in the field. The research methodology outlines the approach taken to investigate the use of Generative AI in architectural design, including data collection and analysis methods. The discussion of findings presents an in-depth analysis of the research results, comparing them with existing literature and identifying implications for practice. The conclusion summarizes the key findings of the thesis, offering recommendations for future research and practical applications of Generative AI in architecture and 3D modeling.

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