TravelCare AI — Autonomous Flight Rescue Agent
Verified outcome — 13 guardrailed skills under explicit capability limits — EU261 / UK261 / US DOT jurisdiction detection, visa-aware rebooking against a curated visa table of 14 passports, and regulation-cited appeal letters. Alibaba Cloud x Atlas Agentic AI Hackathon entry.
- My verified role
- AI Agent Workflow Architect
- Classification
- Feature
- Primary tools
- Alibaba Cloud Model Studio, Qwen 2.5, Atlas Agent Framework
- Public evidence
- Demo videoSource code
Source codeThe Problem
Flight cancellations and delays leave travelers stranded with complex rebooking procedures, confusing international transit visa requirements, and billions in unclaimed passenger rights compensation.
My Role
AI Agent Workflow Architect
What I Personally Directed
Autonomous disruption monitoring pipeline, Claims Autopilot with legal jurisdiction detection (EU261/UK261/US DOT), Visa-Aware transit rebooking engine across a curated visa table of 14 passports, and multi-model Qwen-Agent integration.
The Solution
An autonomous proactive flight rescue agent integrating Atlas flight APIs and Alibaba Cloud Model Studio (Qwen) that instantly detects cancellations, evaluates compensation eligibility, generates regulation-cited appeal letters, and auto-orchestrates visa-safe rescue flights.
Verified Outcome
13 guardrailed skills under explicit capability limits — EU261 / UK261 / US DOT jurisdiction detection, visa-aware rebooking against a curated visa table of 14 passports, and regulation-cited appeal letters. Alibaba Cloud x Atlas Agentic AI Hackathon entry.