Vitamin deficiencies are a widespread global health concern that can lead to issues ranging from weakened immunity to serious illnesses. Detecting these deficiencies early is crucial to preventing long-term health complications. This project focuses on leveraging image classification technology to identify visible signs of vitamin deficiencies such as changes in the skin, nails, or eyes—through image analysis. Often, vitamin deficiencies go unnoticed because their symptoms can be subtle. Clues like skin discoloration, brittle nails, or changes in the eyes can be easily missed or misinterpreted through manual observation, which is often subjective and inconsistent. The aim of this project is to develop a reliable and user-friendly tool to identify these signs early, encouraging individuals to seek timely medical advice and make lifestyle or dietary changes to enhance their health.