Vitamin Deficiency Detection Using Machine Learning And Deep Learning Algorithms

Vitamin deficiencies are a significant global healthconcern, affecting millions across various age groups andgeographical regions. Deficiencies in essential vitamins canlead to a range of health issues, impacting overall physicalwell-being and quality of life. Early detection andappropriate management of vitamin deficiencies are crucialin mitigating these adverse effects. Recognizing the needfor accessible diagnostic tools and personalized nutritionalguidance, this project introduces a web-based applicationthat integrates machine learning to detect potential vitamindeficiencies and provide targeted vitaminrecommendations. Vitamin deficiencies can contribute tonumerous health conditions, affecting physical well-beingand quality of life. This project proposes a web-basedapplication that leverages machine learning to analyzespecific symptoms, such as skin tone, hair health, and skininflammation, associated with vitamin deficiencies, andprovides predictions for potential health conditions. Byallowing users to upload images or describe symptoms,the application predicts common deficiencies and offerstargeted vitamin recommendations to support better healthoutcomes. The primary goal of this project is to create anaccessible platform where individuals can submit theirhealth symptoms or relevant images and receiveimmediate predictions on possible conditions related tovitamin deficiencies. The platform is designed to providerecommendations for specific vitamins based on theirscientifically-established roles.