Adaptive Tourism Planning



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Project Team : Sravan and Jayavanth

Before initiating large-scale tourism or transportation projects, conducting a feasibility study is essential. This adaptive tourism planning model is resource-efficient, requiring a small team for maintenance and server infrastructure for autonomous operation. It recalibrates routes based on real-time conditions, reducing human intervention.

Traditional travel tools offer static comparisons without addressing sudden disruptions like route closures, forcing travelers into costly, last-minute changes. Especially in India, where road, rail, and air transportation present unique flexibility and challenges, disruptions can invalidate entire travel plans.

Our proposed model dynamically recalculates paths, blocking unavailable routes and optimizing alternatives. By integrating road, rail, and air options, it provides a reliable, flexible solution for travelers, minimizing disruptions and enhancing the overall travel experience.

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