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Industry Presentation
AI Digital Twin: 10-Week Journey Showcase
Week 10 - Final Showcase
20 minutes
Presentation Recording
20-minute technical showcase of the AI Digital Twin project
Presentation Recording Coming Soon
The video will be available after the Week 10 final showcase
Presentation Agenda
Structured 20-minute presentation following industry guidelines
Introduction
0:00 - 2:00- •What is your AI Digital Twin?
- •What inspired you to create it?
- •What problem or opportunity does it address?
Technology Stack
2:00 - 6:00- •Core technologies: Next.js, React, TypeScript, Prisma
- •AI integration: RAG system, Upstash Vector DB, Groq LLM
- •Data architecture and system structure
- •MCP protocol implementation
Testing & Peer Feedback
6:00 - 10:00- •Testing methodology and validation approach
- •Peer and mentor feedback collection
- •Key insights from user interactions
- •Technical refinements based on feedback
Improvements Made
10:00 - 13:00- •Changes implemented based on feedback
- •Enhanced user experience features
- •Performance optimizations
- •UI/UX refinements
Challenges Faced
13:00 - 16:00- •Technical challenges (RAG, vector DB, deployment)
- •Non-technical challenges (time management, learning curve)
- •Problem-solving through research and teamwork
- •Lessons learned throughout development
Conclusion & Future
16:00 - 20:00- •Key learnings about AI and digital twins
- •Teamwork and collaboration insights
- •Future improvements and enhancements
- •How the project enhances employability
- •Q&A Session
Key Accomplishments
Major achievements from the complete project
- ✓Built AI-powered Digital Twin with RAG system from scratch
- ✓Implemented comprehensive portfolio with 10+ pages
- ✓Developed custom MCP server for AI agent integration
- ✓Mastered Next.js 15, React 19, TypeScript, and modern AI tooling
- ✓Deployed production applications with 24/7 availability on Vercel
- ✓Integrated vector databases, LLMs, and advanced AI features
Target Audience
Designed for technical and non-technical professionals
Technical Recruiters
Clear demonstration of full-stack development skills, AI integration capabilities, and production deployment experience
Hiring Managers
Evidence of project completion, problem-solving abilities, and readiness for professional development roles
Industry Professionals
Insight into modern AI agent development, MCP protocol usage, and current best practices
Supporting Materials
Additional resources and documentation