An AI-powered smart health companion that detects stress to aid medical support using artificial intelligence/machine learning

The name of the project is "An AI-powered smart health companion that detects stress to aid medical support using artificial intelligence/machine learning." It uses advanced technologies such as AI and ML, which has created a revolution in healthcare and changed people's approach to medical care. This initiative ensures personalized care and support by implementing innovative methods in medical aid coupled with stress detection through what can only be described as an elaborate blend of different technologies. Among the components used are React, Node.js, Python-based machine learning algorithms, MongoDB, and Firebase; they work together harmoniously to produce features like NLP chat application that allows users to easily engage in discussions about their health issues while receiving customized medical advice and suggestions.

Authors

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/aece62803.2024.10911622
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.41
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article

An AI-powered smart health companion that detects stress to aid medical support using artificial intelligence/machine learning

S. Kathirvel, S. Gunasekaran, A Kavin, K Logeshwaran et al.
1 citations
Digital Mental Health Interventions
0.41
article

An AI-powered smart health companion that detects stress to aid medical support using artificial intelligence/machine learning

S. Kathirvel, S. Gunasekaran, A Kavin, K Logeshwaran, S Patmesh
article en
1 citations

Abstract

The name of the project is "An AI-powered smart health companion that detects stress to aid medical support using artificial intelligence/machine learning." It uses advanced technologies such as AI and ML, which has created a revolution in healthcare and changed people's approach to medical care. This initiative ensures personalized care and support by implementing innovative methods in medical aid coupled with stress detection through what can only be described as an elaborate blend of different technologies. Among the components used are React, Node.js, Python-based machine learning algorithms, MongoDB, and Firebase; they work together harmoniously to produce features like NLP chat application that allows users to easily engage in discussions about their health issues while receiving customized medical advice and suggestions.

Openalex Percentile: Top 30%
Digital Mental Health Interventions
0.41
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