1. Introduction
  - Background and significance of personalized recommendation systems
  - Objectives and scope of the project
2. Literature Review
  - Overview of recommendation system algorithms
  - Review of personalized content recommendation in streaming services
3. Data Collection and Preprocessing
  - Collection of user interaction data and movie metadata
  - Data cleaning and feature extraction
4. Recommendation Model Development
  - Selection of recommendation algorithms
  - Model training and evaluation
5. User Interface Integration
  - Design and implementation of the recommendation system interface
  - Integration with movie streaming platform