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.