Leon-KTlan

You can generate city travel recommendations covering attractions, food picks, and executable play-and-eat combined routes. It supports half-day, full-day, and evening plans based on your city, duration, budget, travel type, and crowd preferences.

It targets travelers visiting a city for the first time or seeking local guidance, including users asking where to play, where to eat, how to avoid crowds, or how to find lively areas for half-day, full-day, or evening outings.

It needs the city, trip duration, desired activities and food interests, crowd preference, budget, and travel type. Optionally, users can supply supplementary images or text information to refine the itinerary planning output.

It applies lightweight rule-based filtering against user-provided preferences and produces scenario-based outputs. The first phase focuses on the play-plus-eat scenario, delivering attraction recommendations, food recommendations, and combined executable routes.