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In this video, we will build a complete Real-World Multi-Agent AI System using LangGraph š GitHub: https://github.com/codewithaarohi/AI-Travel-Planning-System-using-LangGraph We are going to create an AI Travel Planning System that uses 4 specialized AI agents: āļø Flight Agent šØ Hotel Agent šļø Itinerary Agent š¤ Final Response Agent Each AI agent performs its own task, and together they work as one intelligent system. In this project, we will: ā Build a Multi-Agent AI Application using LangGraph ā Use Llama 3.3 70B with Groq ā Add Memory using PostgreSQL ā Fetch Real-time Flight Data using AviationStack API ā Search Hotels using Tavily Search API ā Create a complete AI Travel Planner ā Learn Agentic AI Architecture Step by Step Tech Stack Used: LangGraph Groq Llama 3.3 70B PostgreSQL Tavily Search API AviationStack API Streamlit This tutorial is beginner-friendly and everything is explained step by step. If you enjoy AI, LangGraph, Agentic AI, Multi-Agent Systems, and Generative AI projects, then make sure to Subscribe ā¤ļø šø Follow me on Instagram: @codewithaarohihindi š https://instagram.com/codewithaarohihindi š§ You can also reach me at: aarohisingla1987@gmail.com