AI BASED SKIN DISEASE DETECTION SYSTEM

Abstract

Skin diseases are common health problems that require early detection and proper treatment. Traditional diagnosis by dermatologists can take time and may not always be accessible to everyone. This project proposes an AI Based Skin Disease Detection System that uses machine learning techniques to identify skin diseases from images. The system is developed using Python, TensorFlow, and Flask, and it uses a Convolutional Neural Network (CNN) model to analyze skin images and classify them into different categories such as acne, eczema, psoriasis, ringworm, and normal skin. The dataset used for training contains labeled images of different skin conditions. The trained model is integrated with a web application where users can upload a skin image. The system processes the image and predicts the possible disease automatically. This approach helps in providing quick and preliminary diagnosis, which can assist patients and healthcare professionals. The proposed system aims to improve early detection, increase accessibility, and support medical decision-making using artificial intelligence.