This project explores how large language models can be used to generate concise, natural-language explanations comparing the suitability of activities across countries. Users select an activity and two locations, and the system provides a short rationale explaining why the activity is more common or appropriate in one place than the other. The goal is to surface contextual factors—like culture, climate, or infrastructure—that typically remain hidden in traditional recommendation tools.