Skip to content

Projects

Projects

Practical evidence supporting enterprise programme delivery — complementing hands-on transformation leadership.

Operations Intelligence

JourneyMind AI

When travel is disrupted, operators must reconcile passenger context, fare rules, and rebooking options quickly — manual handling is slow and inconsistent, and a purely generative AI approach cannot be audited. I built JourneyMind at the Amadeus + Contentstack AI Hackathon to test whether AI can prepare context while a deterministic decision engine produces recommendations operators can explain and defend. React/TypeScript and FastAPI, with Playwright-tested operator flows.

Problem

When travel is disrupted, operators must reconcile passenger context, fare rules, and rebooking options quickly. Manual handling is slow and inconsistent; a purely generative AI approach is unaccountable and cannot be audited.

Approach

AI orchestration prepares context and options; a deterministic decision engine evaluates them against explicit constraints and returns a justified recommendation an operator can understand and stand behind.

Status
Completed
Purpose
Portfolio
Current focus
Hackathon build with complete architecture and core flows; production hardening and live data integration to follow.
Stack
React · TypeScript · Vite · Tailwind CSS · FastAPI · Python · REST APIs · Playwright
Updated
July 2026
Links
GitHubOn requestLive demoOn requestArchitectureOn requestCase study

7 projects · Private project