# Production Deployment Status

## 🚀 Current Deployment

**Live Application URL**: https://huggingface.co/spaces/msse-team-3/ai-engineering-project

**Demo Video URL**: TBD - Record 5-10 minute screen-share demonstration showing:

- RAG application functionality
- Policy questions and responses with citations
- Design decisions and architecture overview
- Evaluation results walkthrough
- CI/CD pipeline demonstration

## 📋 Submission Requirements

**GitHub Repository**: https://github.com/sethmcknight/msse-ai-engineering

- Shared with `quantic-grader` GitHub account
- Contains complete codebase with documentation
- Includes `design-and-evaluation.md` with design decisions and evaluation summary

**Demo Video Requirements**:

- 5-10 minutes duration
- Screen-share format with voiceover
- Show application features and functionality
- Walk through design decisions and evaluation
- All group members must appear on camera and speak
- All group members must show government ID

**Evaluation Dataset**: 20 questions with gold answers

- `evaluation/questions.json` - Evaluation questions
- `evaluation/gold_answers.json` - Expected answers with source attributions
- Covers policy topics: PTO, security, expenses, remote work, benefits, etc.

**Key Features Demonstrated**:

- ✅ RAG pipeline with source citations
- ✅ Guardrails (refuse off-corpus, length limits, always cite sources)
- ✅ CI/CD deployment pipeline
- ✅ Comprehensive evaluation framework
- ✅ Production deployment on HuggingFace Spaces