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by eshandutta23 • Uncategorized
An AI-powered conversational travel assistant using MCP Server for travel-related queries.
Handle travel-related conversational queries with memory-enabled context.
That require integration with fast and accurate natural language processing via Groq LLM API.
A responsive user interface for real-time interaction.
This project implements a memory-enabled agentic AI chatbot that answers travel inquiries such as destinations, budget options, hotels, transport, and trip planning. It leverages the Model Context Protocol (MCP) Server architecture with Groq LLM API integration for fast natural language processing. The responsive interface built with Streamlit allows real-time user interaction, enhancing travel planning experiences.