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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60086
Volume:
10 |
4 |
April 2026
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.
The paper presents an AI Health Assistant that leverages Machine Learning and Data Science to provide personalized, conversational health consultations. It integrates advanced Natural Language Processing for symptom understanding across multiple languages (English, Hindi, Hinglish) and offers real-time voice-based and chat-based assistance. The system utilizes dynamic machine learning Ensembling models like Random Forest Classifier for continuous learning and improved diagnostic accuracy, aiming to make initial health guidance accessible, empathetic, and efficient for users and medical professionals alike [1] [2].
KEYWORDS
Publication Date
4/14/2026
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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No funding information available for this research.
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