Week 12 Worklog

Week 12 Objectives

  • Deliver final presentation to all stakeholders.
  • Complete self-evaluation and feedback sections.
  • Submit internship report.
  • Celebrate project completion and reflect on the journey.

Tasks carried out this week

Day Task Start Date Completion Date Reference Material
1-6 - Final Presentation Preparation & Project Submission
  + Submit final project link (Deadline: 05/04)
  + Prepared backup demo video for myFit app
  + Tested API & Bedrock technical setup
30/03/2026 04/04/2026 [Presentation]
- - Final Presentation
  + Presented myFit to FCJ leadership (Floor 26 at 07:45)
  + Format: 2 mins setup + 10 mins presentation + 10 mins Q&A
18/04/2026 18/04/2026 [Presentation Recording]
3 - Self-Evaluation
  + Completed self-evaluation form
  + Reflected on 12-week journey
  + Identified technical strengths and growth areas
01/04/2026 01/04/2026 [Evaluation Form]
4 - Program Feedback
  + Wrote detailed feedback for FCJ program
  + Highlighted positive experiences
  + Suggested improvements for future interns
02/04/2026 02/04/2026 [Feedback Form]
6-7 - Celebration & Wrap-up
  + Team celebration dinner
  + Knowledge transfer and project handoff
  + LinkedIn post about internship experience
04/04/2026 05/04/2026 [Photos]

Week 12 Achievements

  • Project Completion:

    • myFit Backend (Spring Boot) and Frontend (React Native) fully functional and integrated.
    • All documentation complete, including API reference, architecture diagram, and setup guides.
    • GitHub repository structured, cleaned up.
  • Personal Growth:

    • Mastered key AWS services (Cognito, S3, Bedrock, Secrets Manager).
    • Gained deep experience in end-to-end full-stack development.
    • Improved presentation, problem-solving, and documentation skills.
    • Built a strong network with AWS professionals and mentors.

Overall Internship Summary

12-Week Journey Highlights:

Phase Weeks Key Accomplishments
Foundation 1-2 Project setup, database design, REST API basics
Core Dev 3-6 AWS Cognito auth, S3 Media integration, System Workouts
Feature Expansion 7-8 Workout Sessions and Diet/Nutrition tracking modules
AI Integration 9-10 Health metrics calculation, AWS Bedrock AI Fitness Coach
Optimization 11 UI Polish, E2E Testing, Docker Compose readiness
Finalization 12 Documentation, final presentation, report submission

Project Statistics:

  • 10+ core REST API modules fully developed (Auth, Food, Workout, Metrics, etc.)
  • 6 comprehensive user journeys mapped and successfully tested
  • 12-turn sliding window memory implemented for the AI Fitness bot
  • < 25 seconds average for backend Docker Compose cold start