1. Introduction
  1.1 Background and Motivation
  1.2 Objectives and Scope
  1.3 Privacy-Preserving Data Anonymization Challenges
2. Literature Review
  2.1 Privacy-Preserving Data Anonymization Techniques
  2.2 Legal and Ethical Considerations
  2.3 Existing Data Anonymization Tools
3. Anonymization Tool Design
  3.1 Anonymization Algorithms and Methods
  3.2 User Interface and Workflow Design
  3.3 Privacy Risk Assessment and Utility Preservation
4. Tool Implementation
  4.1 Anonymization Engine Development
  4.2 User Authentication and Access Control
  4.3 Integration with Data Management Systems
5. Evaluation and Testing
  5.1 Anonymization Effectiveness and Utility Preservation
  5.2 Usability and User Satisfaction