An AI Powered Web Application for Skin Disease Detection

This research paper presents the design of a web-based application with the objective of supporting early skin disease detection through the application of real-time image processing. Following a trained CNN model on a dermatology dataset, the system accepts as input user-upload images and provides diagnostic feedback through an interactive web-enabled interface. The paper presents the integration of AI with healthcare and image recognition and promotes accessibility, accuracy, and user-friendliness without specialist hardware or constant internet connectivity. A critical review of the current literature on AI-based medical diagnoses, identification of gaps in existing skin disease detection solutions, and description of proposed system design and implementation are provided. The proposed system is assessed using prediction accuracy, user interaction, and overall effectiveness of the diagnostic tool. The findings present the capability of this project to support the early detection and skin condition insight of acne, eczema, and psoriasis. The contribution to literature provides a web-enabled, ease-of-use, and low-cost solution for dermatological treatment using innovative web-centric technology.