write master theise results in points 1.2.3.4.5.6.7.80.90.10  from the below outlines



2.1-Types of Ai
7
2.1.1- Artificial Narrow Intelligence (ANI)
7
2.1.2- Artificial General Intelligence (AGI)
7
2.1.3- Artificial Superintelligence (ASI)
8
2.1.4- Reactive Machines
8
2.1.5- Limited Memory
9
2.1.6- Theory of Mind
9
2.1.7- Self-aware
9
2.2- The advantages and disadvantages of artificial intelligence applications.
10 Chapter one: Artificial intelligence applications and their Impact
14-65
3.3.1- Natural Language Generation (NLG)
15
3.3.2- Speech and Voice Recognition
16
3.3.3- Machine Learning Platforms
20
3.3.4- Intelligent virtual agents (IVA)
24
3.3.5- Decision Management
29
3.3.6- Deep Learning Platforms
35
3.3.7- Robotic Process Automation (RPA)
36
3.3.8- Text Analytics and Natural Language Processing (NLP)
38
3.3.9- Bio-metrics
42
3.3.10- Service Robots
47
Fraud detection
52
3.3.12- Emotion Recognition
54
3.3.13- Image Recognition
57
3.3.14- Marketing Automation
59
3.15- The Impact of Artificial Intelligence on E-Tourism Business
62
The Internet of Things (IoT) and Artificial Intelligence (AI)
68
4.2- Big data and artificial intelligence (AI)
70
4.3- Artificial Intelligence and 5G.
74
4.3.1- 5G and AI in E-Tourism Business.
75
4.4 AI Virtual tours future of e-tourism Business
77
4.4.1 Sustainability and Responsibility
77
4.4.3 Revenue Generation and Business Growth
78
4.5 Voice assistants future applications in e-tourism Business
79
4.5.1 Customer Service
80
4.5.2 In-destination Services
80
4.5.3 Loyalty Programs
81
4.5.4 Accessibility
81
4.6 AI Price optimization future in E-tourism Business
83
4.6.1 Multi-Channel Pricing
83
4.6.2 Real-Time Pricing
83
4.6.3 Behavioral Pricing
84
4.6.4 Automated Pricing
84
4.7 AI Fraud detection future in E-tourism Business
85
4.7.1 Cross-Channel Fraud Detection
85
4.7.2 Network Analysis
86
4.7.3 Dynamic Risk Scoring
Fraud Education
86
4.8 AI Image recognition future in E-tourism Business
87
4.8.1 Social Media Analysis
87
4.8.2 Virtual Tours
88
4.8.3 Image-Based Search
88
4.8.4 Personalized Content
89
4.8.5 Future Applications
89
4.9 AI-powered translation future in E-tourism Business
90
4.9.1 Improved Customer Service
90
4.9.2 Increased Accessibility
90
4.9.3 Multilingual Marketing
91
4.9.4 Improved Efficiency
91
4.9.5 Future Applications
92
4.9.6 Ethical Considerations
AI Predictive analytics Future in E-tourism Business
93
4.10.1 Personalized Recommendations
93
4.10.2 Demand Forecasting
93
4.10.3 Operational Optimization
94
4.10.4 Risk Management
94
4.10.5 Future Applications
95
4.11 ChatGPT and the Future of E-Tourism Business
95
4.11.1 The Emergence of ChatGPT in E-Tourism
95
4.11.2. ChatGPT and the Customer Experience: Enhancing Personalization and Engagement
97
4.11.3. ChatGPT in E-Tourism Marketing: Leveraging Real-Time Conversations
99
4.11.4. ChatGPT and the Booking Process: Streamlining Reservations and Transactions.
100
4.11.5. ChatGPT and Customer Service: Improving Support and Satisfaction
101
4.11.6. The Future of ChatGPT in E-Tourism: Opportunities and Challenges
103
4.11.7. Case Studies: Examining Successful ChatGPT Integration in

The Role of ChatGPT in Shaping the Future of E-Tourism Business