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Introduction

Artificial Intelligence (AI) has become an integral part of various industries, including personal finance management. With the advancement of technology, AI has the potential to revolutionize the way individuals manage their finances, making it more efficient and personalized. This thesis aims to explore the application of AI in personal finance management, analyzing its benefits and limitations.

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 Two: Literature Review
– Introduction to AI in personal finance management
– Benefits of AI in personal finance management
– Limitations of AI in personal finance management
– AI applications in budgeting and saving
– AI applications in investments
– AI applications in debt management
– AI applications in risk management
– AI applications in financial planning
– AI applications in fraud detection
– Future trends in AI for personal finance management

Chapter Three: Research Methodology
– Research design
– Data collection methods
– Data analysis methods
– Sample selection
– Ethical considerations
– Reliability and validity
– Limitations of the research methodology
– Research assumptions and limitations

Chapter Four: Discussion of Findings
– Analysis of data collected
– Comparison of findings with existing literature
– Implications of the findings
– Recommendations for further research
– Practical implications for personal finance management
– Future directions for AI in personal finance management

Chapter Five: Conclusion and Summary
– Summary of key findings
– Conclusions drawn from the study
– Contributions to the field
– Limitations of the study
– Suggestions for future research
– Final thoughts on the topic

Thesis Overview on AI for Personal Finance Management

The use of AI in personal finance management has gained significant attention in recent years due to its potential to revolutionize how individuals manage their finances. This thesis explores the application of AI in personal finance management, analyzing its benefits, limitations, and future trends. The literature review provides an overview of current research in this field, highlighting the various applications of AI in budgeting, saving, investments, debt management, risk management, financial planning, and fraud detection.

The research methodology outlines the design of the study, data collection methods, and analysis techniques. The findings are discussed in detail, comparing them with existing literature and drawing implications for personal finance management. Recommendations for further research and practical implications are also provided.

In conclusion, this thesis contributes to the understanding of AI in personal finance management and highlights its potential to enhance financial decision-making. Future research directions are suggested, and the importance of AI in shaping the future of personal finance management is emphasized.

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