Road Trip Planner and Navigator

Abstract

"Current applications for organizing road trips often provide general suggestions and schedules, not considering the preferences of individual travellers. When users are unable to find hidden gems and customize their travels to suit their unique interests and travel preferences, they feel as though they have lost out on important opportunities. To overcome this problem, this project will create a road trip planner and navigator application that puts an emphasis on customization and gives users the ability to create unforgettable trips. To identify the common problems and preferences of road trippers, a thorough investigation was conducted at the start of the project, involving surveys and user interviews. These insights informed design decisions, which centred on elements such as intelligent route suggestions, user preference profiles, and the incorporation of unusual, off-the-beaten-path points of interest. Python and its surrounding ecosystem were essential for applying machine learning algorithms and analysing data. MySQL offered a dependable database, and Flask was chosen for its flexibility in building web applications. The Google Maps API was integrated for its robust mapping and navigation features, and the user interface was designed using HTML, CSS, and JavaScript. The project produced a workable web application prototype that promotes customization. Routes and destinations can be customized by the application using machine learning to match user preferences. The development of an easy-to-use interface and a flawless user experience were prioritized. The process of development reaffirmed the significance of user feedback loops, iterative design, and the utilization of machine learning to augment user satisfaction in the context of travel planning."