1. Introduction
  - Background and significance of privacy-preserving data classification
  - Objectives and scope of the project
2. Literature Review
  - Overview of privacy-preserving data analysis techniques
  - Review of data classification methods in the context of privacy
3. Framework Design
  - Requirements and design considerations
  - Selection of privacy-preserving techniques
4. Prototype Implementation
  - Development of the privacy-preserving data classification framework
  - Integration of privacy-enhancing technologies
5. Evaluation Methodology
  - Metrics for assessing the effectiveness of the framework
  - Experimental setup and data sources