HEALTHIFY: An AI-Driven MERN Solution for Personalized and Predictive Healthcare
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.
Authors
- Piyush Kumar Singh (ORCID: https://orcid.org/0000-0001-8954-4861)
- Abhay Kumar Verma (ORCID: https://orcid.org/0000-0001-7426-8083)
- Aditya Chaudhary (ORCID: https://orcid.org/0000-0001-6317-8277)
- Aashit Kumar Jaiswal (ORCID: https://orcid.org/0000-0001-5854-2011)
- Amit Singhal (ORCID: https://orcid.org/0000-0002-4010-6614)
Publication Details
- Journal
- International Journal For Multidisciplinary Research
- Published
- 2025-05-04
- DOI
- https://doi.org/10.36948/ijfmr.2025.v07i03.43599
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00