HEALTHIFY: An AI-Enabled Smart Healthcare Platform Using MERN Stack for Predictive Health Monitoring

Author(s)	Ms. Deepa, Mr. Pawan Singh, Mr. Abhishek
Country	India
Abstract	Modern healthcare systems are rapidly evolving with the integration of intelligent technologies capable of analyzing large volumes of health-related data. This research presents Healthify, a smart healthcare monitoring platform developed using the MERN stack architecture (MongoDB, Express.js, React.js, and Node.js) combined with Artificial Intelligence techniques. The system is designed to assist individuals and healthcare professionals in monitoring health parameters, predicting potential health risks, and providing personalized recommendations. The proposed platform collects data from electronic health records, wearable devices, and user inputs to generate predictive insights through machine learning algorithms. The application architecture emphasizes scalability, real-time data processing, and secure health data storage. The study evaluates the implementation framework, technological components, and practical implications of integrating AI within a web-based healthcare management system. Results demonstrate that AI-driven web platforms can significantly improve preventive healthcare and enable proactive medical decision-making.
Keywords	Artificial Intelligence, Healthcare Monitoring, MERN Stack, Predictive Analytics, Web-based Health Systems
Field	Engineering
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-17

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International Journal For Multidisciplinary Research