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@article{176476,
        author = {Rohit Shinde and Vedant Salunkhe and Bharat Sharma and Shrushti Sabale},
        title = {TripInsight: A Comprehensive Travel Analytics and Review Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6097-6099},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176476},
        abstract = {Travel planning has evolved significantly with emerging technologies, and our BE project, TripInsight, has successfully achieved all its objectives. This paper presents a comprehensive travel analytics platform integrating crowd pre- dictions based on historical data, transparent cost breakdowns, extensive user-generated reviews, and dynamic features such as Google Maps integration, historical weather data, and a yearly calendar of local festivities. We discuss the system architecture, data modeling strategies, and the robust infrastructure imple- mented using modern web technologies. The TripInsight platform empowers travelers with insights derived from prior patterns and data-driven comparisons. A unique feature includes similar place detection using a vector boolean model. Unlike commercial platforms, our student-level solution balances simplicity with functionality by avoiding real-time dependencies and focusing on interpretability and accessibility. We also explore the challenges encountered during development and outline future prospects for academic and practical improvements in travel planning systems.},
        keywords = {Travel analytics, vector boolean model, crowd prediction, Django, SQLite, HTML, CSS, JavaScript, Google Maps, historical weather data, festivals, user reviews.},
        month = {April},
        }