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@article{182441,
        author = {M Venkata Sai Charan and DR. P SRINIVASA RAO and DR. RAMACHANDRAN VEDANTAM},
        title = {Tourism Explorex},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {2382-2387},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182441},
        abstract = {Tourism Explorex is an intelligent travel assistant built using machine learning techniques, aiming to enhance trip planning through personalized insights and data-driven recommendations. It processes user preferences, historical data, and real-time inputs to suggest ideal destinations, accommodations, and activities. The platform employs various machine learning techniques, including grouping similar travel behaviors, data categorization, and emotion-based analysis, to identify patterns in user preferences. It also incorporates Natural Language Processing (NLP) to interpret user opinions from online reviews and social media, thereby refining the quality of recommendations.
This solution seeks to modernize the tourism sector by delivering adaptive and efficient travel planning tools, improving satisfaction for users. By applying predictive analytics and smart algorithms, Tourism Explorex identifies trends, optimizes travel pricing, and supports both travelers and businesses in making better decisions. This paper outlines the structured use of machine learning to redefine travel experiences and support sustainable tourism.},
        keywords = {Tourism Explorex, Machine Learning (ML), Travel Recommendation System, Personalized Tourism, Predictive Analytics, Clustering and Classification, Sentiment Analysis, Natural Language Processing (NLP), User Behavior Analysis, Smart Travel Solutions.},
        month = {July},
        }