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A full-stack AI-powered travel planning assistant that combines RAG (Retrieval-Augmented Generation), agentic workflows (n8n), and fine-tuned LLMs to help users plan trips with ease. The system features a responsive React frontend, a scalable API backend, and is fully containerized with Docker.

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AI-Travel-Planner

A full-stack AI-powered travel planning assistant that combines RAG (Retrieval-Augmented Generation), agentic workflows (n8n), and fine-tuned LLMs to help users plan trips with ease. The system features a responsive React frontend, a scalable API backend, and is fully containerized with Docker. Sure! Here's a clean and short version of your README.md that still covers the essentials:


AI Travel Planner

A full-stack AI travel assistant using RAG, n8n agents, and MongoDB vector store, built with React + Gemini API, and deployed via Docker.


Features

  • Travel itinerary planner (with date selection)
  • Budget calculator + real-time cost breakdown
  • Flight info & maps integration
  • Language support
  • AI chatbot using fine-tuned LLM
  • n8n agent workflows for logic handling
  • Dockerized & cloud-deployable

Tech Stack

  • Frontend: React, TailwindCSS
  • Backend: API Calls
  • AI: LangChain, OpenAI, RAG
  • Agents: n8n
  • Database: MongoDB + embeddings
  • Deployment: Docker

Run Locally

You can download the file, navigate to it using the command line, and start building the images to run the application locally.

git clone https://github.com/yourusername/ai-travel-planner.git
cd ai-travel-planner
docker build -t ai-travel-planner .
docker run -d -p 3000:80 ai-travel-planner

Demo

Feel free to reach out to me for a demo


License

© 2025 Arnab Barua. All rights reserved.


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A full-stack AI-powered travel planning assistant that combines RAG (Retrieval-Augmented Generation), agentic workflows (n8n), and fine-tuned LLMs to help users plan trips with ease. The system features a responsive React frontend, a scalable API backend, and is fully containerized with Docker.

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