A Web Application for Estimation of Human Health Status Using Eye Images

Abstract: Anaemia, Jaundice and Cataract are the major health issue in most of the developing countries. This affects all age groups of people. Anaemia is a deficiency that indicates the less number of RBC (Red Blood Cells) or irregular shape of RBC (less than 13.5gm/100ml for men and less than 12.0gm/100ml for women) Jaundice is an excess bilirubin (more than 50µmol /L) content is formed, when Haemoglobin is broken down as part of the normal process of recycling old or damaged Red Blood Cells. Cataract is due to ageing, eye injury, eye disease, after using certain medications, including steroids. Introduced a paradigm of completely non-invasive, on demand diagnostic that may replace common blood based laboratory tests. With this technology, a user downloads an application onto their laptop takes a photo of his/her eyes, and instantaneously receives accurate results which is displayed directly onto their screen.

Keywords: Non-invasive method, Machine Learning, Image Processing, SVM algorithm.