Travel on the Go - A Web Based Itinerary Suggestion System

In today's fast-paced world, travelers face challenges in optimizing limited time during short trips or layovers. "Travel on The Go!" is an advanced web application that leverages machine learning and geolocation technologies to provide personalized travel itineraries [1, 2, 5]. By analyzing user preferences and real-time data, the system dynamically suggests nearby attractions, dining options, and activities, maximizing the travel experience within the available timeframe [3, 7]. This paper discusses the development process, methodologies, and the application's potential to enhance personalized travel planning