Real Estate AI Agent
Mar 5, 2025
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1 min read
This project explores how an AI agent can be used as a practical layer on top of a more traditional predictive workflow. In this case, the domain is real estate: price estimation, market analysis, and user interaction around property-related questions.
The project combines valuation models with an LLM-based interface for natural-language interaction and task-level orchestration. The interesting part is not just the agent wrapper itself, but the attempt to connect predictive models with a more usable front-end for exploration and decision support.
Authors
Stefano Blando
(he/him)
PhD Student in Artificial Intelligence
Stefano Blando is a PhD student in the National PhD Program in Artificial Intelligence at
Scuola Superiore Sant’Anna and the University of Pisa. His research lies at the intersection
of AI, agent-based modeling, and economics. He studies adaptive multi-agent systems,
statistical verification of economic simulations, and robust quantitative methods for
financial and socio-economic data.