Travel Buddy Application Using Machine Learning

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, algorithm, and key features. Using machine learning and user preferences, Travel Buddy aims to elevate the travel experience for its users. Key focal points include personalized recommendations, trip planning, system architecture, and artificial intelligence. Keywords: Travel Buddy, personalized recommendations, trip planning, artificial intelligence, Machine Learning, Algorithms, Accommodation.