This repository contains the R code used to process the data, generate all results, and produce the figures presented in the document Who is Serious? A novel behavioral approach for identifying serious search on online real estate platforms.
Trova casa lungo la Linea 1 della metro di Torino: ricerca automatizzata su immobiliare.it con parcheggi live e indicatori di zona, mappa interattiva inclusa.
AI-assisted Manchester housing search PoC using preference capture, geospatial enrichment, soft ranking, tradeoff scenarios, and explainable property recommendations.
Bona renter skills for AI assistants: apartment search, real rental costs, useful tours, lease negotiation, and choosing a home.
Real-estate search and ranking system built for Datathon 2026 (ETH Zurich) and the RobinReal challenge. It turns natural-language housing queries into hard filters, soft preferences, geolocation signals, and ranked Swiss listings through a FastAPI backend, React frontend, MCP integration, semantic embeddings, and optional Bedrock/OpenAI LLM stages.
Interactive multi-person commute-zone finder for shared living search using travel-time isochrones (transit, car, cycling, walking) & geometric polygon intersections.
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