Skin Disease Prediction Using Machine Learning Techniques

An innovative machine learning-based decision support system for the accurate classification of various skin conditions like eczema, psoriasis, melanoma, and dermatitis. It involves preprocessing images, feature extraction, model training, and rigorous evaluation using metrics like accuracy and precision. A user-friendly interface facilitates seamless integration into clinical practice, with plans to expand the dataset, enhance interpretability, and incorporate real-time data for improved skin disease predictions, benefiting both dermatologists and patients.