Smart Medical Inventory Management System and Personalized Health Recommendation System

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.