Most people travel to new places for various reasons. Aside from choosing the best route to get there, they also consider the safety and comfort of their travel accommodations. This system will help users find the ideal gateway by taking into account the time of their journey and the various factors that influence their choice. This system will help users find the next destination and also book all the tickets and accommodations for that trip. It will be very useful for people who are planning on traveling. Instead of having to enter and exit multiple systems each day, people can just ask a robot to perform a specific task for them. This system can help travelers all around to find the ideal gateway or the retreat they are longing for. The system will consider the time of the travel, the interests of the traveler, modes of transportation and the latest trends in travel. Aiming in creating a system that can not only help find the next destination, but also help in booking all the tickets and stays. Using this system, the organizing process, which is currently a tedious one will be simplified, so that more people show interest in traveling.


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    Titel :

    Intelligent Travel Suggester and Booking System


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Gunjan, Vinit Kumar (Herausgeber:in) / Kumar, Amit (Herausgeber:in) / Zurada, Jacek M. (Herausgeber:in) / Singh, S. N. (Herausgeber:in) / Asha, K. H. (Autor:in) / Anagha, S. (Autor:in) / Deepika, A. (Autor:in)

    Kongress:

    International Conference on Computational Intelligence in Machine Learning ; 2023 ; Hyderabad, India November 24, 2023 - November 25, 2023



    Erscheinungsdatum :

    02.07.2025


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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