A Survey Paper on Various Techniques used in Detection of Vitamin Deficiency using Image Processing and Neural Network

Numerous vitamin deficiencies might manifest as one or more easily recognizable signs and symptoms that emerge in various parts of the body. Through examination of photos of their eyes, lips, tongue, and nails, the program gives users the opportunity to identify any vitamin deficiencies they may have without giving blood samples. The CNN algorithm, which is based on deep learning, is used to carry out this operation. Here, the dataset of the eyes, lips, tongue, and lips has been considered. Following the analysis of the dataset, pre-processing is carried out, and the data is subsequently trained using the CNN method. Following training, the model is stored, and OpenCV is used for testing