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Introduction

Artificial Intelligence (AI) technology has shown tremendous advancements in recent years, with applications ranging from healthcare to finance. One area where AI has the potential to make a significant impact is in the field of sign language translation. Sign language is a crucial mode of communication for individuals who are deaf or hard of hearing, and ensuring effective communication between sign language users and non-signers is a pressing issue.

This thesis aims to explore the potential of AI-powered sign language translation systems to bridge the communication gap between sign language users and non-signers. By leveraging the power of machine learning and computer vision algorithms, these systems have the potential to accurately translate sign language into spoken language and vice versa.

Chapter 1: Introduction
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 History of sign language translation
2.2 State of the art in AI-powered sign language translation
2.3 Challenges in sign language translation
2.4 User perspectives on sign language translation technologies
2.5 Ethical considerations in AI-powered sign language translation
2.6 Comparison of different AI models for sign language translation
2.7 Applications of AI-powered sign language translation
2.8 The impact of AI on the sign language community
2.9 Future directions in AI-powered sign language translation research
2.10 Conclusion

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Participant recruitment
3.5 Technology and tools
3.6 Ethical considerations
3.7 Limitations of the study
3.8 Research timeline

Chapter 4: Discussion of Findings
4.1 Analysis of data
4.2 Comparison of AI models
4.3 User feedback on sign language translation systems
4.4 Ethical implications of AI-powered sign language translation
4.5 Recommendations for future research
4.6 Implications for practice
4.7 Limitations of the study
4.8 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Implications for research and practice
5.3 Recommendations for further study
5.4 Conclusion

Thesis Overview

The use of AI-powered sign language translation systems has the potential to revolutionize communication for individuals who are deaf or hard of hearing. This thesis aims to explore the capabilities and limitations of these systems, as well as the impact they have on the sign language community.

In Chapter 1, the introduction provides background information on the importance of sign language translation and outlines the objectives of the study. Chapter 2 presents a comprehensive literature review on the state of the art in AI-powered sign language translation, including challenges, user perspectives, ethical considerations, and future directions.

Chapter 3 details the research methodology, including data collection methods, participant recruitment, and technology used. Chapter 4 discusses the findings of the study, analyzing data, comparing AI models, and discussing user feedback and ethical implications.

Finally, Chapter 5 offers a conclusion and summary of the project, highlighting key findings, implications for research and practice, and recommendations for further study. This thesis aims to contribute to the growing body of research on AI-powered sign language translation and advocate for the inclusion of sign language users in the advancement of this technology.

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