Spaces:
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| # Production Deployment Status | |
| ## π 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 | |
| ## π 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**: | |
| - β RAG pipeline with source citations | |
| - β Guardrails (refuse off-corpus, length limits, always cite sources) | |
| - β CI/CD deployment pipeline | |
| - β Comprehensive evaluation framework | |
| - β Production deployment on HuggingFace Spaces | |