MyHealthAlly: An AI-Powered Conversational Assistant for Personalized Healthcare Guidance

This study introduces My Health Ally, a conversational assistant driven through the use of natural language processing (NLP) in artificial intelligence (AI) to deliver tailored healthcare advice. The vision of this article is to create and deploy a user-centered virtual assistant that can comprehend, process, and reply to natural language inquiries about health. By using cutting-edge NLP techniques, My Health Ally seeks to close the gap between patients and medical professionals by providing trustworthy information, symptom checking, and wellness advice based on each user's unique needs. To improve user engagement and trust, the system design incorporates contextual language understanding, medical databases, and machine learning models. Key Words: Artificial Intelligence, Natural Language Processing, Conversational Assistant, Chabot

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-04-14
DOI
https://doi.org/10.55041/isjem02859
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

MyHealthAlly: An AI-Powered Conversational Assistant for Personalized Healthcare Guidance

Apurva Patel, Parth Patel
International Scientific Journal of Engineering and Management
Digital Mental Health Interventions
article

MyHealthAlly: An AI-Powered Conversational Assistant for Personalized Healthcare Guidance

Apurva Patel, Parth Patel
article en

Abstract

This study introduces My Health Ally, a conversational assistant driven through the use of natural language processing (NLP) in artificial intelligence (AI) to deliver tailored healthcare advice. The vision of this article is to create and deploy a user-centered virtual assistant that can comprehend, process, and reply to natural language inquiries about health. By using cutting-edge NLP techniques, My Health Ally seeks to close the gap between patients and medical professionals by providing trustworthy information, symptom checking, and wellness advice based on each user's unique needs. To improve user engagement and trust, the system design incorporates contextual language understanding, medical databases, and machine learning models. Key Words: Artificial Intelligence, Natural Language Processing, Conversational Assistant, Chabot

International Scientific Journal of Engineering and ManagementVol. 04(04)
Openalex Percentile: Top 92%
Digital Mental Health Interventions
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