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AI Real Estate Assistant

AI Real Estate Assistant puts a conversational search engine on top of your own property catalogue, so buyers type a request in plain language and receive matched listings in return. A query about a two-bedroom apartment in a named city under a price limit becomes extracted filters, semantic ranking over the catalogue, and a shortlist that matches the words instead of a rigid form. Behind the chat sits a working toolbelt: a mortgage calculator, a rent-versus-buy comparison, ROI and total-cost-of-ownership estimates, and an AI valuation that projects a property value one, three, five and ten years ahead with a confidence band. Every listing card shows an estimated monthly payment, and every property page carries an AI neighbourhood summary covering district character, nearby amenities and ease of getting around. Interactive maps cluster markers by area, a city overview page compares markets across districts, and a documents section accepts uploaded files that visitors can question in the same conversation. An agent directory presents the people behind the listings together with their stock, and the interface speaks nine languages with compliance labels on AI output. The demo mode answers with a local model and needs no paid key, and a real deployment routes each request to any of sixteen providers. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

AI Real Estate Assistant
AI Real Estate Assistant
AI Real Estate Assistant
AI Real Estate Assistant
AI Real Estate Assistant

Benefits

  • Natural Language Property Search
  • Visitors describe the home they want in plain words and the assistant extracts filters, ranks the catalogue semantically, and returns matched listings without rigid search forms or manual filter tuning.
  • Financial Tools Behind Chat
  • Mortgage, rent-versus-buy, ROI, total cost of ownership and AI valuation tools answer money questions inside the conversation, with multi-year price forecasts and confidence bands for each property.
  • Your Catalogue, Your Server
  • The catalogue, documents and chat history stay on infrastructure you control, and the Docker deployment runs the complete stack from one compose file with a single persistent volume.
  • Sixteen Providers, One Interface
  • Requests route to OpenAI, Anthropic, Google, DeepSeek, Ollama and eleven more providers with automatic fallback, and a per-request header switches models without any code change at all.

Features

  • Hybrid Semantic Retrieval
  • A query-complexity classifier routes between RAG-only, enhanced hybrid retrieval and agent-with-tools modes over ChromaDB with MMR reranking for diverse, relevant listing results.
  • AI Valuation Forecast
  • Paste a property identifier and receive a current value estimate plus projections for one, three, five and ten years, with a confidence band and the key price drivers.
  • Interactive Maps And Analytics
  • Clustered map markers, area comparisons and a city overview page present market analytics per district, and each property page adds an AI neighbourhood summary automatically.
  • Documents You Can Question
  • Upload documents and query their contents inside the same chat, turning brochures, contracts and reports into sources the assistant can cite during a property conversation.
  • Nine Language Interface
  • The full interface ships in English, Polish, Russian, German, Spanish, Italian, Portuguese, Turkish and Ukrainian, with EU AI Act compliance labels attached to generated output.

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