Smart Medical Inventory Management System and Personalized Health Recommendation System

Abstract: In the transforming digital healthcare paradigm, bringing pharmacy inventory automation together with smart health suggestions is essential to enhance patient outcomes and automate clinical workflows. This article introduces a Smart Medical Inventory Management System and Personalized Health Recommendation System based on the MERN stack (MongoDB, Express.js, React.js, Node.js) and Python-based machine learning models trained on Google Colab. It has two portals - an admin dashboard for pharmacists, which is OTP-authenticated, having support for real-time QR code-based tracking of medicines, automated bill generation in PDF format, low-stock and expiry alerts, as well as alternate medicine suggestions; and a user dashboard, facilitating login, uploading prescriptions, viewing purchase history, and AI-based personalized health advice based on their respective medical profiles and prescription history. This smart platform improves pharmacy operation efficiency for pharmacists while empowering patients with evidence-based health insights. The system has been proven to be scalable, cross-platform, and modular, and exhibits a high potential for practical implementation in smart pharmacies and e-health models.