Client
Government of Canada — exploring whether AI could make airport accessibility practices easier to find, compare, and act on.
Industry
Government · Aviation Accessibility
Engagement
Prototype: PDF parsing, AI summarization, dashboard
Timeline
Nov–Dec 2024 · Approved Jan 2025
The Challenge
- ❌ Accessibility practices scattered across numerous PDF documents.
- ❌ Hard to compare how different Canadian airports address similar needs.
- ❌ Airport teams needed quick, glanceable summaries instead of manual mining.
What We Delivered
Platform & Experience
- ✅ PDF ingestion pipeline that extracts relevant sections from accessibility documents.
- ✅ AI summaries that normalize terminology and surface the “what/where/how”.
- ✅ Searchable dashboard for airport pros to scan by topic, airport, or keyword.
- ✅ Comparisons across Canadian airports to spot patterns and best practices.
Delivery
- ✅ Built and iterated in ~1 month (Nov–Dec 2024).
- ✅ Presented in January 2025; concept approved for next-phase planning.
Tech Snapshot
- PHP — ingestion workflow, API integration, and UI.
- MySQL — structured storage and fast lookups.
- OpenAI API — extraction assists and concise summaries.
Results
Speed
1-month delivery from kickoff to demo.
Clarity
At-a-glance summaries replace manual PDF mining.
Path Forward
Green-lit concept with a global rollout vision for airports worldwide.
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