Booking AI Assistant

Leyla Mehtiyeva
Published

0
  • Project creator

Overview

Designed and built an end-to-end AI-powered hotel search assistant from scratch.

The system understands natural language requests, extracts user constraints, retrieves relevant hotels, and generates grounded responses based on real search results.

Key Features

  • Natural language understanding
  • Retrieval-Augmented Generation (RAG)
  • Vector search using embeddings
  • Constraint matching and filtering
  • Structured hotel retrieval pipeline
  • Production-oriented architecture
  • End2end evaluation framework

Technologies

  • Python
  • FastAPI
  • OpenAI API
  • Elasticsearch
  • Vector Search
  • Pydantic
  • AsyncIO

My Responsibilities

  • Designed the overall system architecture
  • Implemented retrieval and ranking pipeline
  • Built hotel embedding pipeline
  • Developed structured data schemas
  • Implemented evaluation framework for retrieval and end2end quality
  • Integrated LLM reasoning with deterministic retrieval
  • Built API and backend logic

GitHub:
https://www.twine.net/signin

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