🚀 I built an AI that plans your entire Dubai trip in seconds. 🇦🇪

Every year, millions of tourists visit Dubai, yet many still plan their trips using outdated blogs, dozens of browser tabs, and guesswork.

So I built NovaDXB—an AI Concierge that thinks like a local Dubai expert.

Instead of giving generic answers, it creates a personalized travel plan based on your budget, travel style, group, and trip duration.

✨ In seconds, it generates:

🗺️ A day-by-day itinerary

📍 An interactive map with live location pins

🍽️ Restaurant recommendations

💰 Real AED budget estimates

💡 Local insider tips

Behind the scenes, NovaDXB uses an Agentic RAG architecture powered by LangChain, LangGraph, LlamaIndex, Pinecone, and GPT-4o-mini, with built-in security features like prompt injection detection, response caching, and rate limiting.

📊 Results:

✅ 20/20 evaluation score

✅ Tested across 3 LLMs

✅ Average cost: $0.000375 per query

This project was built for the Decoding Data Science App Building Challenge, and it taught me how much goes into building a production-ready AI application—not just prompting an LLM.

🚀 Live Demo: https://huggingface.co/spaces/nipunkavindaAI/NovaDXB

💻 GitHub: https://github.com/NipunKavinda95/NovaDXB

I'd love your feedback! If you were visiting Dubai, what feature would you want an AI travel assistant to have?

#NovaDXB #AIAgents #GenerativeAI #RAG #LangChain #BuildInPublic

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🚀 I built an AI that plans your entire Dubai trip in seconds. 🇦🇪