AI Trip Planner using LangGraph | Streamlit | Hugging Face | End-to-End Project

Description

In this video, I’ve built an AI-powered Trip Planner using the LangGraph framework — a powerful tool for building LLM workflows. The app takes your travel preferences (destination, budget, duration, interests) and generates a personalized itinerary using LLMs from Hugging Face, all deployed beautifully with Streamlit! 🚀 🔹 Tech Stack Used: 🧠 LangGraph (for LLM orchestration and graph-based reasoning) 💬 Hugging Face (for language model APIs) 🌐 Streamlit (for the interactive web interface) 🧩 Python (for backend logic and integration) 💡 What You’ll Learn: How to use LangGraph to connect multiple LLM nodes How to integrate Hugging Face models for intelligent text generation How to build an AI workflow for trip planning How to deploy a seamless Streamlit application Whether you’re a data scientist, AI enthusiast, or just exploring LLM frameworks, this project will give you hands-on insight into how to combine LangGraph + Streamlit + Hugging Face to create real-world AI applications 🌟 📌 Don’t forget to like, share, and subscribe for more AI projects, tutorials, and experiments! #LangGraph #Streamlit #HuggingFace #AITripPlanner #LLM #ArtificialIntelligence #Python #DataScience #AIProjects #TravelAI