Travel Buddy Application Using Machine Learning

Abstract

Travel Buddy is an intelligent travel companion that aims to enhance the travel experience by assisting travelers with efficient trip planning, organization, and execution. This comprehensive platform provides personalized recommendations, booking support, itinerary management, and navigation services. This paper delves into the development of Travel Buddy, shedding light on its system architecture, algorithms, and key features. By utilizing machine learning and analyzing user preferences, Travel Buddy strives to elevate the travel experience for its users. Key areas of focus include personalized recommendations, trip planning, system architecture, and the application of artificial intelligence.