Multi-agent AI system for real estate property search and appointment booking using LangGraph, OpenAI GPT-5, and Supabase

Real Estate AI Deep Agents is a multi-agent AI platform built with DeepAgents and LangGraph that helps users search, analyze, and evaluate properties, It combines intelligent orchestration, financial and market analysis, location insights, and automated report generation into an end-to-end solution powered by LLM infrastructure

Discover the future of real estate with our advanced AI chatbot! Developed in Python and powered by Multi LLM, Firecrawl, API, and LangChain, this cutting-edge chatbot is designed to streamline property searches, answer client queries, and enhance customer experiences. Whether you're a real estate agent looking to boost productivity or a tech enthu

Conversational AI agent for real estate property search. Uses OpenAI GPT to extract filters from natural language, executes secure SQL queries on PostgreSQL, and returns matched properties. FastAPI backend + vanilla JS frontend. Production-ready with Docker support.

AI agent-powered real estate chatbot built with LangChain, leveraging advanced LLM-driven tool orchestration for seamless, location-aware property recommendations. Integrates geospatial data and vector embeddings to enable intelligent, context-sensitive house listing searches and personalized user interactions.

AI-powered agentic system for real estate property analysis in Los Angeles, integrating official data (ZIMAS/LADBS), external search, and automated report generation

AI Real Estate Agent is an Apify Actor that searches for real estate listings on Zillow based on user queries. It extracts ZIP codes using an LLM (GPT-3.5-Turbo) and fetches property listings using the Zillow Scraper.

An AI-powered WhatsApp chatbot designed to streamline property searches, answer client queries, and provide real-time real estate insights. Built for seamless interaction, it helps buyers, sellers, and agents connect faster and more efficiently.

AI-driven property scanner for hyper-local real estate discovery. Pinpoint any location with a click or upload a building photo (reverse image search) to instantly retrieve all listings (rent & sale) and top-rated agents in that exact area. Aggregates and pre-processes data from multiple sources for real-time, accurate results.

A modular conversational AI agent designed for real estate users to search for properties listings. The workflows are currently private, but the architecture is extensible and ideal for PropTech applications or domain-specific AI agents.The workflows are currently private, but the architecture is extensible and ideal for PropTech applications.

Full-stack real estate marketplace built with ASP.NET Core 9 and React 19 Key Features: • 360° Panorama Tours with Three.js • AI-Powered Listings (OpenAI GPT-4) • Real-time Chat (SignalR + Stream) • VNPay & MoMo Payment Integration • Professional Agent Profiles • Membership Tiers & Advanced Search Tech: .NET 9, EF Core, SQL Server, React

Two Sigma and RentHop, a portfolio company of Two Sigma Ventures, invited Kagglers to unleash their creative engines to uncover business value in this unique recruiting competition. RentHop makes apartment search smarter by using data to sort rental listings by quality. But while looking for the perfect apartment is difficult enough, structuring and making sense of all available real estate data programmatically is even harder. Two Sigma invited kagglers to apply their talents in this recruiting competition featuring rental listing data from RentHop. Kagglers will predict the number of inquiries a new listing receives based on the listing’s creation date and other features. Doing so will help RentHop better handle fraud control, identify potential listing quality issues, and allow owners and agents to better understand renters’ needs and preferences. Two Sigma has been at the forefront of applying technology and data science to financial forecasts. While their pioneering advances in big data, AI, and machine learning in the financial world have been pushing the industry forward, as with all other scientific progress, they are driven to make continual progress. This challenge is an opportunity for competitors to gain a sneak peek into Two Sigma's data science work outside of finance.

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A production-ready hybrid real-estate product search agent that: Automatically decides between data-source search (structured filters / transactional DB lookups) and semantic search (vector embeddings + similarity) based on the user's query. Integrates Redis for memory/cache, and tuned for Uvicorn (ASGI) for async performance & scalability.

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An Agentic AI backend for Dubai real estate search

AI Real Estate Agent Team - Property search and analysis system

An AI-powered real estate platform with intelligent search, analysis, and agent interactions

400+ copy-paste-ready AI prompts for real estate agents — searchable web app

Autonomous AI agent for real estate search in Lesvos using Ollama (Mistral) + DuckDuckGo + FastAPI.

Free AI agent for industrial companies navigating real estate — intake, search, compare, tour, deal, memo

Official LangChain tools for Xbaza Belarus Job Market API. Search jobs, professionals, business listings, real estate with AI agents.

Peanech Aether Estate is a modern web application for real estate discovery, booking, and agent management. It combines AI-powered search, real-time analytics, rich admin features, and a sleek, responsive design system.

AI-powered real estate platform for Nigeria. Lagos-first property search, verified agents, WhatsApp-native contact. Laravel 11 + Next.js 15 + React Native.

A Flutter-powered real estate app with AI-driven property search and agent-client integration. Built for seamless home discovery and scheduling showings.

This application helps users find properties in Bangladesh by leveraging multiple AI agents that search, analyze, and evaluate properties from major Bangladeshi real estate websites.

A production-ready real-time voice agent for real estate sales in Telugu. Features full-duplex audio, barge-in (interruption) handling, and RAG (document search) using Sarvam AI and React

The **Real Estate Assistant Agent** is a state-of-the-art AI system designed to modernize the property search and acquisition experience. By utilizing specialized agents, it automates the first 80% of the real estate funnel—from raw lead engagement to detailed market appraisal and viewing scheduling.

A modern, voice-driven real estate SaaS platform built with Next.js, featuring AI-powered property search, agent management, and client portals. Built with TypeScript, Tailwind CSS, and Docker.