Vitamin Deficiency Detection Using Image Processing

Abstract

Abstract: This research paper introduces an innovative Web application that utilizes Artificial Intelligence (AI) to identify vitamin deficiencies in individuals by analyzing images of specific body organs. This novel approach eliminates the need for costly laboratory tests, enabling users to detect potential vitamin deficiencies without requiring blood samples. Users can easily capture photos of their eyes, lips, tongue, and nails, and the application will analyze these images to identify possible deficiencies. Furthermore, the application provides a list of recommended nutritional sources to address the identified deficiency and outlines potential associated complications. The AI software has been meticulously trained to accurately distinguish and classify vitamin deficiencies by analyzing images of these specific body parts, which exhibit distinct symptoms when the body experiences nutritional deficits. Additionally, healthcare professionals can contribute to and validate visual data from their patients, enhancing the application's accuracy and expanding its detection capabilities. This application serves as a valuable tool in addressing the global issue of insufficient nutritional awareness, ultimately assisting healthcare workers in delivering more precise diagnoses. Vitamins are essential components of our diet, and their deficiency can lead to a range of health problems. The primary objective of this AI system is to identify vitamin deficiencies at an early stage, helping to prevent severe consequences such as infectious diseases, anemia, maternal mortality, and impaired cognitive and physical development