Travel Finder – An AI-powered Travel Planning and Recommendation System
Year: 2025
Type: article
Abstract: The AI-Powered TRAVEL FINDER represents a groundbreaking innovation in the realm of travel technology, specifically crafted to bridge the gap between solo traveller and like-minded individuals, thereby fostering enriching shared travel experiences. Harnessing the capabilities of Artificial Intelligence (AI) and Machine Learning (ML), this platform meticulously analyses an array of user preferences, including desired destinations, travel dates, budgetary constraints, and personal interests, to generate highly personalized recommendations for travel companions. With a strong emphasis on building a sense of community, the application ensures that solo travellers no longer need to embark on their journeys in isolation, instead offering them opportunities to connect with others who share similar passions and travel goals. At its core, the system employs sophisticated smart matching algorithms, such as collaborative filtering and clustering techniques, which dynamically curate new travel groups or integrate users into existing ones based on overlapping interests, guaranteeing harmonious and enjoyable group dynamics throughout the trip. By transforming the often-solitary nature of solo travel into a collaborative and socially engaging adventure, the AI-Powered Travel Finder addresses key challenges such as isolation, while simultaneously promoting cultural exchange and fostering deep, meaningful connections among travellers. Whether the purpose of the journey is leisure, adventure, or even business, this platform redefines the travel landscape, ensuring that no one has to experience the wonders of exploration alone. Through its innovative approach, the AI-Powered Travel Finder not only enhances the practicality of travel planning but also enriches the emotional and social dimensions of every journey, making it a vital tool for modern travellers seeking both convenience and companionship.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409650828