Medicine recommendation system (Health Harbour)

Shaik, Nagur Vali and Penmetsa, Lokesh Karthik Varma and Salveru, Spandana and Bathula, Praisey and Madishetty, Sahas Manikanta (2025) Medicine recommendation system (Health Harbour). World Journal of Advanced Research and Reviews, 25 (2). pp. 195-203. ISSN 2581-9615

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.