Agentic AI-Powered Travel Planner
Presenting by Madhan Kumar S Introduction The Agentic AI MCP Tour Planner is an end-to-end, AI-powered travel planning application. It leverages advanced agentic workflows, Retrieval Augmented Generation (RAG), and multi-tool orchestration to deliver highly personalized travel recommendations and accommodation options. The project is designed with modularity and scalability in mind, using modern Python frameworks and containerization for ease of deployment. Technologies Used LangGraph: Agentic workflow orchestration LangChain: LLM and tool integration Streamlit: Frontend UI FastAPI: Backend API FAISS: Vector search for RAG Tavily: Internet search tool MCP Tool: Accommodation search Ollama/Groq: LLM inference Docker: Containerization Flow Chart LangGraph state flow Key Features Agentic AI Flow: Utilizes LangGraph to manage complex, multi-step reason...