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@article{176093,
        author = {Sanika More and Aditi Thorat and Prof.Poonam Lad},
        title = {AQUAVISTA: COASTAL TOURISM SAFETY AND SUITABILITY APPLICATION USING DATA MINING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5433-5438},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176093},
        abstract = {This project outlines the creation of a feature-rich Coastal Tourism Safety and Suitability Application designed to improve the beach-going experience by prioritizing user safety and comfort. The app delivers tailored beach suggestions based on individual preferences, current weather updates, crowd density, and cleanliness ratings. It also includes integrated options for booking nearby resorts and hotels, enabling users to plan their trips effortlessly from beach selection to accommodation.
To ensure safety, the app provides real-time alerts and updates from certified governmental or private lifesaving services, helping users respond promptly to emergencies like rip currents, severe weather, or health-related incidents. Additionally, the app allows users to discover local restaurants, cafes, bars, and shopping spots—offering a complete solution for planning coastal getaways. A visually engaging, map-based navigation system similar to Google Maps is embedded, offering clear, intuitive directions to beaches and nearby facilities},
        keywords = {},
        month = {April},
        }