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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 3, MARCH 2025

Health Pixel: Multi-Modal AI-Driven Medical Image Analysis Platform for Preventive Healthcare

Mrs. Karuna Manjusha Y, Pavan Kumar P, Bahudoorsha K, Sohel Sk, Venu K

DOI: 10.17148/IJARCCE.2025.14360

Abstract: Health Pixel is an innovative web-based platform that utilizes artificial intelligence to perform comprehensive medical image analysis. By employing advanced convolutional neural networks (CNNs), the platform offers users quick and non-invasive health insights by analyzing images from four key body areas: the tongue, eyes, nails, and skin. This research highlights the platform's unique approach to enhancing preventive healthcare by leveraging intelligent image recognition techniques and providing personalized health recommendations based on visual biomarkers. The proposed multi-modal diagnostic system effectively bridges critical gaps in early disease detection and continuous health monitoring by delivering accessible, technology-driven medical insights.

Keywords: Artificial Intelligence, Medical Image Analysis, Convolutional Neural Networks, Preventive Healthcare, Multi-Modal Diagnostics.

How to Cite:

[1] Mrs. Karuna Manjusha Y, Pavan Kumar P, Bahudoorsha K, Sohel Sk, Venu K, “Health Pixel: Multi-Modal AI-Driven Medical Image Analysis Platform for Preventive Healthcare,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14360