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@article{169251,
        author = {Sathya T and Bhavesh Kumar R and Kishorevarshan S and Hareesh Dass KMS},
        title = {AI Vacation Planner},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {564-568},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169251},
        abstract = {This project explores the development and implementation of an AI-powered vacation planner designed to enhance the travel planning experience. Utilizing advanced algorithms and machine learning techniques, the system provides personalized travel recommendations by analyzing user preferences, historical data, and real-time information. The AI planner suggests optimal destinations, accommodations, activities, and itineraries tailored to individual needs and interests. This project aims to streamline the planning process, reduce decision-making time, and offer a seamless and enjoyable travel experience. Utilizing advanced algorithms and machine learning techniques, the system provides personalized travel recommendations by analyzing user preferences, historical data, and real-time information. The AI planner suggests optimal destinations, accommodations, activities, and itineraries tailored to individual needs and interests. This project aims to streamline the planning process, reduce decision-making time, and offer a seamless and enjoyable travel experience. By integrating various data sources and leveraging AI-driven insights, the vacation planner seeks to revolutionize how users plan and experience their vacations.},
        keywords = {AI, vacation planning, personalized recommendations, real-time updates, machine learning.},
        month = {November},
        }