Travel Itinerary Planner

A Python-based travel itinerary planner built with LangChain, LangGraph, FAISS, and Gradio. It generates personalized day trip itineraries using user inputs (city, interests), Retrieval-Augmented Generation (RAG) with travel data, real-time API integration (mock), and a feedback loop for itinerary refinement.

Features

• FAISS Destination Retrieval: Validates cities using a vector store for efficient matching.
• RAG: Enhances itineraries with travel blog/Wikivoyage data.
• LLM Memory: Retains conversation history for context-aware responses.
• Real-Time APIs: Mock integration for flights and hotels (replace with real APIs like Amadeus).
• Feedback Loop: Allows users to rate and refine itineraries via Gradio UI.
• Gradio Interface: User-friendly interface for inputting city, interests, and feedback.