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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54909
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Healthcare accessibility is frequently constrained by fragmented information systems, technical complexity, and limited availability of medical professionals for preventive consultations. This research presents Curaid—an AI-powered digital health companion designed to democratize healthcare through intelligent conversational interfaces and predictive analytics. Unlike conventional symptom checkers that operate independently, Curaid integrates comprehensive health management within a unified platform combining Generative AI for natural language processing with machine learning algorithms for chronic disease risk assessment ,. The modular Django-based framework incorporates secure authentication protocols, automated personalized health report generation, integrated mental health support, and intelligent lifestyle task management. Through systematic evaluation, Curaid demonstrates enhanced user engagement compared to fragmented health applications while ensuring robust data security and healthcare compliance standards , . The system’s primary innovation lies in its holistic wellness approach, seamlessly integrating symptom analysis, predictive health modeling, mental health monitoring, and personalized lifestyle recommendations within a single conversational interface. This comprehensive methodology empowers users toward proactive healthcare management, eliminating dependency on multiple applications while promoting accessible preventive care across diverse demographic populations.
KEYWORDS
Publication Date
5/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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