AI-Powered Real Estate Concierge Development

For this project, I built an end-to-end AI-Powered Real Estate Concierge that reimagines the experience using natural language.

Instead of ticking boxes, users describe their dream lifestyle (e.g., "Find me a modern 2-bedroom apartment in downtown with a view"). The platform uses Retrieval-Augmented Generation (RAG) to understand user intent and perform semantic searching across property databases in real-time, delivering highly relevant results that match the user's emotional and practical needs.

Natural Language Search: A clean, modern web interface (Next.js) where users input complex queries just as they would speak to a human agent.

Intelligent Chatbot Agent: A mobile-responsive conversational flow that confirms criteria, refines searches based on feedback, and handles logistics.

Semantic Matching Engine: Utilized vector databases and LLMs to match properties based on context and vibe, not just keywords.

Automated Workflows: Designed to handle the entire top-of-funnel process, from initial inquiry to scheduling viewings, operating 24/7.

This project demonstrates the application of generative AI to solve real-world friction in the real estate industry, creating a seamless, high-touch user experience without high-touch human involvement.