ItemConference Paper

JivaCare: A Smart Health Care Application Integrating Home Remedies for Holistic Well-Being

Title
JivaCare: A Smart Health Care Application Integrating Home Remedies for Holistic Well-Being
Creator
Joseph, Raima; Goel, Nishtha; Shreenithi, Livia; Yogish, Deepa
Description
JivaCare is a smart health care application that aims to diagnose common illnesses and recommend home remedies by leveraging advancements in Artificial Intelligence (AI) and Machine Learning (ML). Initially, a custom dataset of diseases and symptoms was used to develop a disease-diagnoses chatbot. However, challenges such as limited accuracy and rigid disease-symptom mapping were identified. To address these, GPT-3.5 API was integrated via RapidAPI, enhancing conversational quality without requiring extensive training while improving response quality. A MySQL database was implemented to store conversational history and session-based memory. Subsequently, the focus transitioned to a text classification approach using a 5,634-sample dataset from HuggingFace. This enabled flexible symptom-to-disease classification, overcoming the limitations of the initial dataset. Five machine learning models were evaluated, with Logistic Regression achieving the highest accuracie of 85 % after fine-tuning its hyperparameters. Additionally, neural network architectures such as GRU, RNN and CNN were also employed, achieving validation accuracies of 76%, 82% and 84%, respectively. The results demonstrate the effectiveness of integrating ML and deep learning techniques for accurate disease prediction and remedy recommendation. This work can establish the foundation for a scalable and user-friendly healthcare system, bridging the gap between AI and personalised natural health benefits. 2025 IEEE.
Source
Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Healthcare; JivaCare; Logistic Regression; Text Classification
Coverage
Joseph R., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Goel N., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Shreenithi L., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Yogish D., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833153853-8;
Format
online
Language
English
Type
Conference paper

Citation

Joseph, Raima; Goel, Nishtha; Shreenithi, Livia; Yogish, Deepa, “JivaCare: A Smart Health Care Application Integrating Home Remedies for Holistic Well-Being,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25799.

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