Medicine Recommendation System - A Smart Approach to Predictive Healthcare Solutions

Ajmal T, Preethi Thomas

Abstract: This study presents an intelligent, machine learning-based Medicine Recommendation System that enables real-time disease prediction and treatment guidance based on user-reported symptoms. Designed as a web-based application, the system utilizes a Support Vector Classifier (SVC) model trained on structured medical datasets to identify probable diseases and suggest relevant medications, dietary plans, and precautionary measures. The platform facilitates early diagnosis, enhances user awareness, and supports preventive healthcare, particularly in areas with limited medical resources.

Keywords: disease prediction, medicine recommendation, machine learning, SVC, healthcare system

How to Cite?: Ajmal T, Preethi Thomas, "Medicine Recommendation System - A Smart Approach to Predictive Healthcare Solutions", Volume 14 Issue 4, April 2025, International Journal of Science and Research (IJSR), Pages: 1436-1441, https://www.ijsr.net/getabstract.php?paperid=SR25418004822, DOI: https://dx.doi.org/10.21275/SR25418004822