Building a Virtual Property Consultant Using Artificial Intelligence In this article, I will share my experience of using real estate data and leveraging OpenAI's Large Language Model GPT3 to develop a virtual property consultant. This project took me on a journey from Italy to the United States, where I pursued my passion for artificial intelligence and pursued a doctorate at the University of Cincinnati. Living in Italy, I was accustomed to enjoying good food, coffee, and enduring traffic. However, my move to the United States introduced me to a whole new level of independence, as I navigated through tasks and responsibilities on my own, far away from my parents. One such experience that my wife and I embarked on for the first time together was house hunting. House hunting, for those unfamiliar with the term, involves actively searching for the perfect home.

It goes beyond simply browsing listings; it becomes a pursuit. Questions like the best website, the ideal offer, the perfect neighborhood, tax considerations, and insurance rates come into play. It's an optimization problem, where you strive to meet all your dream house requirements while staying within a budget of a certain value. The real estate market in the United States is vast, offering numerous opportunities for customization. Real estate agents work closely with clients to provide them with their dream homes. In the United States, the real estate profession is often associated with being a "go-getter, " emphasizing the importance of human qualities and soft skills. . . (Note: The text has been slightly condensed while maintaining its essence)