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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53827
Volume:
9 |
11 |
Nov 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.
In the 21st century, healthcare accessibility has emerged as one of the most pressing global challenges. Despite significant advancements in medical science and technology, millions of individuals — particularly those living in rural and semi-urban regions — continue to experience delays or a complete lack of access to timely medical consultation. The increasing dependence on digital technology and Artificial Intelligence (AI) has opened new opportunities to transform healthcare delivery from traditional, hospital-centered systems to more accessible, user-centric digital solutions. HealthAid – Smart Health Awareness and Assistance Platform is a comprehensive web-based system developed to bridge the gap between patients and healthcare services by offering intelligent, AI-driven health guidance. The platform enables users to input symptoms and receive real-time analysis based on machine-learning algorithms that predict possible conditions. In addition, HealthAid provides doctor-verified home remedies and safe medicine suggestions, ensuring the reliability of health information. A built-in navigation feature, powered by Google Maps API, assists users in locating nearby hospitals, clinics, and pharmacies, thereby facilitating immediate healthcare access during emergencies. The research and implementation of HealthAid demonstrate its potential to significantly improve healthcare accessibility, especially in resource-limited environments. Evaluation results reveal high user satisfaction, robust system performance, and an average AI prediction accuracy exceeding 90%. By promoting early diagnosis, preventive awareness, and digital literacy, HealthAid contributes meaningfully to the global vision of accessible, equitable, and technology-driven healthcare for all.
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Publication Date
12/10/2025
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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