onyxRay: A Mobile-Based Nail Diseases Detection Using Custom Vision Machine Learning

Abstract

Nails serves as a great way to discover several underlying systemic diseases of a person. There are different nail abnormalities that are associated with systemic diseases. The objective of the study is to utilize mobile camera that will allow users to capture of nail. Through this, the application will suggest several systemic diseases found based on the uploaded nail image by the user. The methods applied in this study includes the use of Custom Vision API that process images to analyze certain nail abnormalities. This study concludes that systemic diseases can be identify through nail abnormalities, so that the proponents developed an application that will analyze a fingernail image and will provide systemic diseases suggestions.