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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

Medicine recommendation system (Health Harbour)

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Nagur Vali Shaik, Lokesh Karthik Varma Penmetsa *, Spandana Salveru, Praisey Bathula and Sahas Manikanta Madishetty

Department of CSE (Data Science), ACE Engineering college, Telangana, Hyderabad, India.

Research Article

World Journal of Advanced Research and Reviews, 2025, 25(02), 195-203

Article DOI: 10.30574/wjarr.2025.25.2.0382

DOI url: https://doi.org/10.30574/wjarr.2025.25.2.0382

Received on 25 December 2024; revised on 31 January 2025; accepted on 02 February 2025

Health Harbour is a machine-learning-based system designed to assist users in identifying possible health conditions and finding suitable medications. By analyzing symptoms entered by the user, it simplifies the process of symptom-based diagnosis and provides helpful health insights. Built using Python and Scikit-Learn, the model is trained on a dataset of 187 symptoms and achieves an impressive accuracy of 99.6%. Users can input four key symptoms, and the system will predict potential illnesses while suggesting appropriate medications. Additionally, it offers diet recommendations, necessary precautions, and workout plans to promote overall well-being. With an easy-to-use interface powered by Stream-Lit, Health Harbour ensures a smooth and interactive experience. By making healthcare guidance more accessible, this system helps users take proactive steps toward better health and informed decision-making.

Medicine Recommendation System; Machine Learning; Symptom-based Diagnosis; Personalized Healthcare

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-0382.pdf

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Nagur Vali Shaik, Lokesh Karthik Varma Penmetsa, Spandana Salveru, Praisey Bathula and Sahas Manikanta Madishetty. Medicine recommendation system (Health Harbour). World Journal of Advanced Research and Reviews, 2025, 25(02), 195-203. Article DOI: https://doi.org/10.30574/wjarr.2025.25.2.0382.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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