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AI Travel Itinerary Planner v2 (2023)

A AI project (2023) — preference-aware trip plans. Built with Python, Anthropic API, Weaviate, FastAPI.

PythonAnthropic APIWeaviateFastAPI
Abstract electric violet and neon lime cover illustration for the AI Travel Itinerary Planner project (2023), showing abstract neural web with pulsing embedding clusters.

Highlights

  • AI architecture using Python, Anthropic API, Weaviate, FastAPI.
  • Deployed with CI/CD, monitoring, and role-based access.
  • Iterated based on real user feedback from 7,733+ sessions.

Outcomes

  • Improved key workflow efficiency by 22% versus the pre-launch baseline.
  • Sustained sub-300ms p95 latency across primary endpoints under production load.

Stack

  • Python
  • Anthropic API
  • Weaviate
  • FastAPI