INTELLIGENT VITAMIN DEFICIENCY PREDICTION USING SKIN IMAGES

The proposed system provides an intelligent and non-invasive method to predict vitamin deficiencies using skin images. By applying image processing and    deep learning techniques, the system can analyze visible skin changes effectively. It reduces the dependency on traditional laboratory tests for preliminary screening. The model helps in early detection and timely medical consultation. This approach is cost-effective and accessible, especially in remote areas. Overall, the project demonstrates the potential of AI in improving healthcare diagnostics.

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