UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 10
October-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2510228


Registration ID:
570330

Page Number

c212-c217

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Title

Enhance Your Liver Health Ai In Sights Your Finger Tips

Abstract

Liver diseases such as fatty liver, hepatitis, and cirrhosis are becoming increasingly common and pose a serious global health challenge. One of the major issues with liver-related conditions is their silent progression many patients remain unaware of their illness until it reaches an advanced stage. This delay in diagnosis significantly reduces the chances of effective treatment. Early detection is critical, yet access to regular screenings and specialist care remains limited, especially in rural and under-resourced areas. To address this issue, the project introduces a non-invasive, AI-powered liver health monitoring system that delivers real-time insights through a smartphone application. By analyzing clinical data such as liver enzyme levels (SGPT, SGOT), bilirubin, and albumin along with optional ultrasound images the system employs machine learning algorithms to predict liver condition and classify it into disease stages. This allows users to receive instant feedback on their liver health status without the need for costly or invasive procedures. Designed for both personal and clinical use, the platform offers a user-friendly interface that makes liver monitoring simple and accessible. It also includes features such as secure data storage, personalized health recommendations, and optional doctor integration for remote consultation. By putting reliable liver health insights directly in the hands of users, this innovation promotes early intervention, supports preventive care, and bridges the gap between patients and healthcare providers helping to combat liver disease more effectively.

Key Words

Clinical data input, AI analysis engine, Mobile application interface, Liver function test strip, Doctor connectivity module, Feedback and learning module.

Cite This Article

"Enhance Your Liver Health Ai In Sights Your Finger Tips", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 10, page no.c212-c217, October-2025, Available :http://www.jetir.org/papers/JETIR2510228.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Enhance Your Liver Health Ai In Sights Your Finger Tips", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 10, page no. ppc212-c217, October-2025, Available at : http://www.jetir.org/papers/JETIR2510228.pdf

Publication Details

Published Paper ID: JETIR2510228
Registration ID: 570330
Published In: Volume 12 | Issue 10 | Year October-2025
DOI (Digital Object Identifier):
Page No: c212-c217
Country: Coimbatore, Tamil Nadu, India .
Area: Medical Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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