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This paper presents RecoTrip, an intelligent mobile travel recommendation system that leverages machine learning algorithms and data analytics to provide personalized travel suggestions. The system is built using Python for the backend with integrated machine learning models, and React Native (Expo) for the frontend mobile application. RecoTrip analyzes user preferences, historical travel patterns, budget constraints, and destination characteristics to generate customized itineraries and point-of-interest recommendations.
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ARPIT BHARDWAJ (2026) studied this question.
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