AI-Powered Intelligent Travel Planner for Customised Transportation and Destination Suggestions

Due to the abundance of information available about destinations, transportation, and lodging, travel planning has grown more complicated. It can be challenging for users to effectively plan vacations while taking into account a variety of aspects, including appropriate accommodations, transport routes, and surrounding attractions. In order to overcome this difficulty, this study suggests an AI-Based Intelligent Travel Planner that uses artificial intelligence methods to offer customised travel suggestions. In order to provide optimal recommendations for tourist locations, hotel accommodations, alternate modes of transportation, and neighbouring attractions, the suggested system evaluates user preferences and travel requirements. The Django framework in Python is used to create the system as a web-based application, with SQLite database support for data administration and storage. Through an intuitive interface, the platform allows users to engage with the system, processing travel information to generate appropriate recommendations. The suggested approach delivers high recommendation accuracy, with results reaching up to 100% accuracy in a number of modules, including hotel recommendations and alternate transportation planning, according to experimental evaluation. By offering trustworthy and astute suggestions, the system greatly streamlines the process of organising a trip. By combining useful travel planning features with artificial intelligence approaches, the suggested solution enhances user experience and is a useful tool for contemporary travellers.