CLASSIFICATION OF SKIN DISEASES USING MACHINE LEARNING TECHNIQUES

Abstract

The project “Classification of Skin Diseases Using Machine Learning Techniques” focuses on the classification of skin diseases using machine learning techniques to achieve early and accurate diagnosis. Skin diseases affect millions worldwide and often require expert knowledge and specialized tools for proper identification. The proposed system uses deep learning-based image classifiers, particularly convolutional neural networks, to analyse skin lesion images. It accurately classifies diseases such as eczema, psoriasis, and melanoma. Users upload skin images through a web or mobile application for analysis. The system processes the images and provides diagnostic results with confidence scores.

It assists dermatologists by reducing diagnostic errors and improving efficiency. Overall, the system enhances accessibility to reliable and quality skin disease diagnosis.