IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 119

Article Submitted : 23355

Article Published : 9033

Total Authors : 23952

Total Reviewer : 831

Total Countries : 162

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Android-Based Offline Eye and Skin Disease Detection Application With Visual Acuity Testing
Authors Name: Gautham Krishna. T , Dr. R. Sri Devi
Download E-Certificate: Download
Author Reg. ID:
IJRTI_211312
Published Paper Id: IJRTI2604084
Published In: Volume 11 Issue 4, April-2026
DOI:
Abstract: Access to medical screening remains a critical challenge in rural and resource-limited communities where specialist infrastructure is scarce. This paper presents an Android-based offline mobile application integrating retinal disease detection, dermatological classification, and colour vision deficiency assessment in a single platform. MobileNetV2 and EfficientNetB3 models, trained on publicly available Kaggle datasets through transfer learning, achieve 97% classification accuracy. A two-stage validation pipeline comprising domain gating and confidence thresholding filters invalid inputs before inference. Built with React Native and TensorFlow Lite, all processing executes entirely on-device without internet connectivity, making accurate multi-domain clinical screening accessible to underserved populations worldwide.
Keywords: Mobile health, deep learning, diabetic retinopathy, skin disease classification, colour vision testing, TensorFlow Lite, MobileNetV2, EfficientNetB3, offline inference, transfer learning.
Cite Article: "Android-Based Offline Eye and Skin Disease Detection Application With Visual Acuity Testing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a599-a604, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604084.pdf
Downloads: 00065
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2604084
Registration ID:211312
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: a599-a604
Country: Coimbatore , Tamilnadu, India
Research Area: Medical Science
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604084
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604084
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner