Abstract
The aim of this project is to develop an AI based travel planner that intends to alter planning and excursion encounters for people. Using sophisticated models and instructions for computers, such as statistical techniques applied in learning how humans learn best from their past experiences so they can anticipate future instances on them even when these are unknown for sure beforehand; data showing different types of transportation methods including those involving moving oneself put up for sale together with lodging places like hotels; field trips or tours where individuals can go out and participate in other events besides just sitting at home – all serving as input sources yielding recommendations specific enough standalone resources without being overly complex through averaging available data over time (Hong 2012). The In this regard, the trip planner will evaluate the personal user tastes, historical information concerning the destinations, as well as the contemporary pieces of advice on where to go today, where to get an accommodation or how to move by different types of vehicles, what to do. Besides, the system will support the natural language communication.
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