Worklog Week 8

Week 8 Objectives: Finalization & Reporting

Write proposal, prepare demo, complete worklog and internship report.

Main Tasks:

Results:

1. Proposal:

• ✅ Complete proposal with:
  • Project introduction and problem statement
  • Proposed solution
  • System architecture (AWS services)
  • Cost estimation (~$45 for 8 weeks)
• ✅ Detailed description of AWS services: Lambda, API Gateway, DynamoDB, Cognito, Bedrock, Transcribe, Polly, S3, Amplify

2. Demo:

• ✅ Demo script prepared (5-7 minutes)
• ✅ Demo videos of features:
  • Authentication (signup, login, OAuth)
  • Chat with AI tutor
  • Voice conversation (recording, transcription, TTS)
  • Flashcard review with SRS
  • Statistics dashboard
• ✅ Video edited and uploaded

3. Worklog:

• ✅ Complete 8-week worklog
• ✅ Each week documented with:
  • Objectives and tasks
  • Results achieved
  • Challenges and solutions
  • Accomplishments

4. Report:

• ✅ Internship report (LaTeX) with sections:
  • Introduction and objectives
  • Foundational knowledge (AWS, Clean Architecture)
  • System design
  • Implementation details
  • Results and evaluation
  • Lessons learned and conclusion

5. Slides:

• ✅ Presentation slides (PowerPoint/PDF)
• ✅ Project summary, architecture, demo
• ✅ Prepared for final presentation

Project Summary:

AWS Services Used:

• 🔐 Cognito: Authentication + Google OAuth
• 🤖 Bedrock: AI conversation (Nova Micro)
• 🎤 Transcribe: Streaming speech-to-text
• 🔊 Polly: Text-to-speech (neural voices)
• ⚡ Lambda: Serverless compute
• 🌐 API Gateway: REST API
• 💾 DynamoDB: NoSQL database
• 📦 S3: Audio file storage
• 🚀 Amplify: Frontend hosting

Completed Features:

• ✅ Auth (Cognito + Google OAuth)
• ✅ AI Tutor (Bedrock Nova Micro)
• ✅ Voice (Transcribe streaming + Polly)
• ✅ Flashcards (SRS with SM-2 algorithm)
• ✅ Scenarios (15 lessons, A1-C2)
• ✅ Statistics dashboard

Key Learnings:

Technical:

• ✅ Clean Architecture helps maintain and test code
• ✅ AWS Serverless suitable for MVP (reduces cost, easy to scale)
• ✅ Streaming transcription better than batch processing (low latency)
• ✅ Synchronous APIs simpler than streaming (easier to debug, implement)
• ✅ DynamoDB single-table design complex but efficient

Process:

• ✅ Planning and design before coding saves time
• ✅ Early manual testing catches bugs
• ✅ Documentation important (helps remember later)
• ✅ Time management: prioritize core features first

Challenges:

• ⏱️ Some features took longer than expected (voice integration)
• 🐛 Debugging voice integration complex (browser compatibility, audio formats)
• 💰 Bedrock cost higher than expected (optimized prompts to reduce)
• 📚 Learning curve: Clean Architecture, AWS services, Next.js App Router

Soft Skills:

• 📝 Writing reports and documentation
• 🎤 Preparing and presenting demo
• ⏰ Time management and deadline handling
• 🤝 Teamwork and communication

Evaluation:

Successes:

• 🎯 Completed MVP in 8 weeks
• 💰 Reasonable cost (~$45, within budget)
• 📊 Good code quality (Clean Architecture, type-safe)
• 📝 Complete documentation (proposal, worklog, report)

Areas for Improvement:

• ⏱️ Time estimation needs improvement
• 🧪 Lacking automated tests (only manual testing)
• 📱 Not optimized for mobile
• 🌐 No production monitoring/logging

🎉 Internship Complete!

Lexi - AI English Speaking Tutor MVP completed!

Final Statistics:

• ⏱️ 8 weeks from idea to deployment
• 💰 ~$45 AWS cost (within budget)
• 🏗️ Clean Architecture
• 🚀 Deployed on AWS
• 📝 Complete documentation (proposal, worklog, report)

Thanks to mentor and team for support! 🙏