Home / Current Issue / Paper 1712265
SMARTAID - General Health Advise
Subject area: Science,Engineering and Technology · Area of research: AI - Driven Health Recommendation Systems
DOI: https://doi.org/10.64388/IREV9I5-1712265
Abstract
SmartAid is an intelligent health advisory system designed to provide users with instant, reliable, and personalized general health guidance. The system enables individuals to input their symptoms and receive tailored health advice, including possible causes, first-aid measures, and suggestions for whether a doctor?s visit is necessary. SmartAid aims to bridge the gap between self-diagnosis and professional consultation by using a knowledge-based approach integrated with symptom analysis algorithms. The system leverages simple decision logic and AI-driven symptom matching to deliver accurate responses within seconds. It emphasizes preventive care, health awareness, and early detection by guiding users toward safe self-care practices and timely medical attention when required. SmartAid can also suggest over-the-counter remedies, lifestyle changes, and dietary recommendations based on user input. This project demonstrates how technology can enhance healthcare accessibility, especially in rural or underserved areas where medical professionals may not be immediately available. By combining digital innovation with medical knowledge, SmartAid contributes to the development of intelligent healthcare solutions that empower individuals to make informed health decisions. Future enhancements may include multilingual support, real-time chatbot consultation, and integration with wearable health devices for continuous monitoring.
Keywords
SmartAid, Health advisory system, Artificial intelligence, Machine learning, Healthcare automation, Symptom checker, Medical decision support system, e-Health, Telemedicine, Digital healthcare, Preventive healthcare, Health monitoring, Patient self-assessment, Healthcare accessibility, Chatbot-based health advisor, Health informatics, Healthcare innovation, Health technology, Medical AI, Public health awareness.
How to cite this paper
@article{1712265,
author = {Nandhini G. S., Sanjay R, Siju Wilson P, Suvetha Sre K, Varun M; Vishwa G},
title = {SMARTAID - General Health Advise},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {5},
pages = {1745-1753},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1712265.pdf},
abstract = {SmartAid is an intelligent health advisory system designed to provide users with instant, reliable, and personalized general health guidance. The system enables individuals to input their symptoms and receive tailored health advice, including possible causes, first-aid measures, and suggestions for whether a doctor?s visit is necessary. SmartAid aims to bridge the gap between self-diagnosis and professional consultation by using a knowledge-based approach integrated with symptom analysis algorithms. The system leverages simple decision logic and AI-driven symptom matching to deliver accurate responses within seconds. It emphasizes preventive care, health awareness, and early detection by guiding users toward safe self-care practices and timely medical attention when required. SmartAid can also suggest over-the-counter remedies, lifestyle changes, and dietary recommendations based on user input. This project demonstrates how technology can enhance healthcare accessibility, especially in rural or underserved areas where medical professionals may not be immediately available. By combining digital innovation with medical knowledge, SmartAid contributes to the development of intelligent healthcare solutions that empower individuals to make informed health decisions. Future enhancements may include multilingual support, real-time chatbot consultation, and integration with wearable health devices for continuous monitoring.},
keywords = {SmartAid, Health advisory system, Artificial intelligence, Machine learning, Healthcare automation, Symptom checker, Medical decision support system, e-Health, Telemedicine, Digital healthcare, Preventive healthcare, Health monitoring, Patient self-assessment, Healthcare accessibility, Chatbot-based health advisor, Health informatics, Healthcare innovation, Health technology, Medical AI, Public health awareness.},
month = {November},
doi = {https://doi.org/10.64388/IREV9I5-1712265}
}