Authors : Aparna Tiwari; Gajanan Patange; Vrushali Shelar; Arya Chavan; Tanushree Diwan

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/5sespdcv

Scribd : https://tinyurl.com/2m7znwn6

DOI : https://doi.org/10.38124/ijisrt/26apr707

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : BeachRecs-India presents a novel AI- and ML-driven platform designed to enhance coastal tourism safety in India by providing actionable beach safety insights through a Smart Mobile and Web Application. Unlike real-time monitoring systems, BeachRecs relies on pre-processed tidal and weather data to generate a predictive Beach Safety Index, helping tourists make informed decisions. The system also integrates a user-friendly interface and a chatbot for tourism assistance, delivering a holistic solution for beachgoers. Future enhancements include global deployment, advanced Natural Language Processing for improved user interaction, and optional integration with Wearable Devices for noncontinuous health and safety notifications. The developed platform demonstrates robust performance with an overall accuracy of 94.53%, validating its effectiveness in delivering reliable, data-driven beach safety guidance.

Keywords : Coastal Tourism, Beach Safety, Artificial Intelligence, Machine Learning, Predictive Analytics, Smart Tourism, Chatbot, Non-Real-Time Data.

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