HEALTHIFY: An AI-Driven MERN Solution for Personalized and Predictive Healthcare

Author(s)	Mr. Abhay Pratap Verma, Mr. Abhijeet Jaiswal, Mr. Aditya Kumar Chaudhary, Mr. Piyush Kumar Singh, Dr. Amit Singhal
Country	India
Abstract	AI-based platforms with predictive features customized for personalization of services can radically redefine the way healthcare is run as far as enriching the patients and skilled services are concerned. This work illustrates HEALTHIFY, a health platform built with MERN stack technology (MongoDB, Express.js, React.js, Node.js) integrated with backend AI. AI algorithms parse data from EHR, wearables, and user feedback to offer real-time health forecasts, personalized advice, and risk assessment. The system architecture is designed for ease of use, security, and scalability, providing healthcare practitioners and patients easy-to-use tools for disease prevention and health tracking. The study discusses the system design, developing an AI model, technological challenges in implementation, as well as the results indicating that HEALTHIFY improves healthcare delivery through data-driven insights and patient engagement. It concludes with a final thought that highlights the potential of how AI and the MERN stack can revolutionize the future of healthcare.
Keywords	Electronic Health Records, AI Analytics, MERN Stack
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-04
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.43599
Short DOI	https://doi.org/g9hsfb

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research