AI-based Personalized Travel Planner
Keywords:
Budget management, Collaborative platforms, Data analytics, Flexible scheduling, Group travel planning, Personalized recommendations, Shared interfaces, Sustainable tourism, Travel applications, User experienceAbstract
Group travel is a tricky and stressful thing to plan. It requires to balance everyone’s wishes, juggle a common budget, and negotiate surprises. Traditional journey apps do not introduce a sustainable journey; they lack live collaboration, and they do not provide tailored recommendations. This leads to a compromised and counterproductive experience. This paper describes how recent electronic systems enhance travel planning. They apply data-analytic approaches to offer easy-to-use, ecologically friendly, and convenient solutions. Such sites provide ample destinations, save money, have flexible schedules, and handle groups through shared interfaces. The paper discusses how these systems are designed, operate, and contribute to making air travel planning easier, more enjoyable, and more consistent with current sustainability objectives.
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