Non-invasive Smart Mobile Application for Disease Detection from Human Fingernail Photography

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Srividhya, V. and Janaki, N. and Rohihi, G. and Keerthana Priyadharshini, L. and Indirakumar, - and Hemalatha, S. and Mohana Sandhiya, S. and Pavithra, E. and Sujatha, K. (2024) Non-invasive Smart Mobile Application for Disease Detection from Human Fingernail Photography. In: Lecture Notes in Networks and Systems ((LNNS,volume 1110)). Springer Nature Link, pp. 137-146.

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Official URL: https://doi.org/10.1007/978-981-97-6678-9_12

Abstract

Abnormalities in the nails of human beings may be signs of underlying systemic disorders. Various systemic diseases have been connected to various nail abnormalities. The main objective of this project is to create a mobile application that allows users to utilize the camera on their phone to take pictures of their nails. The custom vision API is employed in the study to analyse the nail images and find certain nail flaws. The mobile application shows systemic diseases that may be connected to the reported nail anomalies after the investigation is complete. This study culminates with evidence that chronic diseases can potentially be addressed by means of abnormalities in the nails. The end result is the development of a user-friendly smart phone application that makes it simpler to analyse fingernail pictures and offers suggestions for suspected systemic illnesses.

Item Type:	Book Section
Subjects:	Electrical and Electronics Engineering > Electrical Power and Machines
Domains:	Electrical and Electronics Engineering
Depositing User:	Mr IR Admin
Date Deposited:	23 Aug 2025 08:55
Last Modified:	23 Aug 2025 08:55
URI:	https://ir.vistas.ac.in/id/eprint/10387

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