Case Study · 06 / 10
AI Travel Planning Assistant
Delivered full trip itineraries in seconds instead of hours, with improved user trust in recommendations.
Agentic AITravel Technology
Seconds
Planning
Multi-agent
Sources
↑
Trust
Challenge
Trip planning was fragmented across visa, cost, safety, and weather data, and manual planning was time-consuming and error-prone.
Solution
Built a multi-agent AI system orchestrating visa, cost, safety, and weather data, using retrieval-augmented generation for accurate, real-time recommendations.
Impact
Delivered full trip itineraries in seconds instead of hours, with improved user trust in recommendations.
Tech stack
LangGraphOpenAIpgvectorFastAPIReact
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