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ISSN: 2347 - 5552

International Journal of Innovative Research in Computer Science and Technology (IJIRCST)

International Journal of Innovative Research in Computer Science and Technology- Volume 13, Issue 3, 2025

Pages: 26-34

AI-Driven Personalized Medical Recommendation System

Faizan Ahmad, Mansi Soni, Nigar Parveen, Saurabh Kumar Upadhyay, Syed Kazeem Akbar


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Abstract:

The advancement of Artificial Intelligence (AI) has paved the manner for wise healthcare solutions that may beautify prognosis and treatment hints. This paper provides an AI-driven Personalized Medical Recommendation System, which predicts diseases primarily based on person-input signs and indicates relevant drugs. The system leverages machine learning algorithms using supervised studying techniques for sickness prediction and content-primarily based filtering for medication guidelines. A Flask-based web application ensures accessibility, providing real-time interaction. Experimental effects suggest that the system provides exceptionally accurate and reliable clinical recommendations, showcasing the capacity of AI in modern healthcare. The development of a Medicine Recommendation System ambitions to help healthcare specialists and sufferers in selecting appropriate medications based totally on individual clinical profiles and particular situations.

Keywords:

Medical Recommendation System, Machine Learning, Personalized Healthcare, AI in Healthcare, Healthcare Informatics, Symptom-Based Diagnosis, Disease Prediction, AI in Medicines, Clinical Decision Support, Personalized Treatment Plans, AI-Driven Healthcare Solutions.

DOI URL:- https://doi.org/10.55524/ijircst.2025.13.3.5

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