AI Based Skin Disease Prediction

An AI-based system is developed for automated skin disease detection, aiming to enhance diagnostic accuracy and accessibility. In this project, it proposes a deep learning-based model for classifying various skin conditions using dermatological images while ensuring fairness across diverse skin tones. The system is designed for deployment on both mobile and web platforms, focusing on high usability and optimal performance. Image preprocessing techniques are integrated to handle variations in image quality, and data balancing strategies are applied to mitigate the effects of class imbalance. These methods enable the model to improve reliability and generalization across different input conditions. Additionally, the model ensures equitable performance across skin tones, addressing a crucial fairness requirement in medical AI. Ultimately, the system provides an efficient, user-friendly solution for early detection of skin diseases, contributing to improved healthcare outcomes. The implementation is carried out using deep learning frameworks and evaluated on standard dermatological datasets.