Paper Key : IRJ************270
Author: Panicker Aditya Gopinath,Sudev V Sudhakaran,Deekshith E Das,Amann V Prakash,Shejina N M
Date Published: 05 Nov 2024
Abstract
In recent advancements, an AI-powered travel planning application has been developed to streamline the process of organising personalised travel experiences. This application leverages machine learning algorithms and vast data sets to provide users with custom-tailored itineraries based on individual preferences such as budget, travel dates, destination, and group size. The app integrates with real-time data sources, including flight and accommodation databases, to offer users the most relevant and up-to-date options. By analysing user behaviour and historical travel data, the AI continuously refines its suggestions, ensuring optimised travel plans that meet user expectations. The application also features seamless integration with geolocation services and third-party APIs, enabling users to book flights, hotels, and activities directly through the platform. This innovative approach not only enhances the user experience by simplifying trip planning but also adapts to the evolving needs of travellers, making it a robust solution for both casual and frequent travellers
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