Case Study · 06 / 10
AI Travel Planning Assistant
Delivered full trip itineraries in seconds instead of hours, with improved user trust driven by transparent per-source citations.
Agentic AITravel Technology
Seconds
Planning
Multi-agent
Agents
Up
Trust
Challenge
Trip planning required stitching together visa, cost, safety, and weather APIs manually, producing inconsistent itineraries and long turnaround times.
Solution
Built a multi-agent system on LangGraph orchestrating specialized visa, cost, safety, and weather agents against real-time APIs, with a RAG layer over destination guides and structured JSON itinerary output.
Impact
Delivered full trip itineraries in seconds instead of hours, with improved user trust driven by transparent per-source citations.
Tech stack
LangGraphOpenAIpgvectorFastAPIReact
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