Week 12 Worklog

Week 12 Objectives

  • Conduct the weekly team meeting to finalize provisioning tasks, align efforts, and ensure all remaining work is properly delegated.
  • Attend the AWS Cloud Mastery Series #3 Workshop on 11/29 and apply relevant insights to project refinement.
  • Continue development of the Rafilm platform, focusing on final integration, polishing, and stability.
  • Complete updates to project documentation (SRS, proposal, architecture diagrams) to match the finished implementation.
  • Test and debug key implemented features for improved efficiency, including film data fetching, watch history logging, and review creation.
  • Complete and refine AI integration, including the Bedrock chatbot workflow and Amazon Personalize recommendation pipeline.

Tasks to be carried out this week

DayTaskOn-site?Date
1- Conduct final weekly team meeting
- Assign last tasks for development, testing, and documentation		11/24/2025
2- Continue Rafilm development
- Integrate remaining UI components or backend logic		11/25/2025
3- Focus on AI integration tasks:
_ Bedrock chatbot refinement
_ Personalize recommendation flow validation		11/26/2025
4- Update and finalize documentation:
_ SRS
_ Proposal
_ System architecture and data flow diagrams		11/27/2025
5- Test implemented features thoroughly:
_ TMDb fetching stability
_ Logging watch history _ Review creation & retrieval
- Optimize performance and fix remaining defects		11/28/2025
6- Join AWS Cloud Mastery Series #3 Workshop
- Gather any applicable insights for polishing the final deliverables		11/29/2025

Week 12 Achievements

  • Final team coordination completed:

    • Held the last weekly meeting to align responsibilities and ensure readiness for final delivery.

  • Participated in AWS Cloud Mastery Series #3:

    • Gained concluding insights useful for finalizing architecture and implementation decisions.

  • Completed Rafilm development tasks:

    • Finalized UI, backend, and integration logic across all components.
    • Ensured stable interactions between Amplify, Lambda, DynamoDB, Personalize, TMDb, and Bedrock.

  • Finalized project documentation:

    • Updated the full SRS, proposal, and architecture diagrams to accurately reflect implemented features.
    • Ensured all materials meet clarity and completeness requirements.

  • Tested and optimized core features:

    • Improved performance and reliability for film information fetching, watch history logging, and review creation.
    • Fixed defects found during end-to-end validation.

  • Completed AI integration:

    • Finalized the Bedrock-powered chatbot workflow.