Students' Projects

Skin Disease Detection Using Machine Learning
Department Computer Engineering (Data Science)
Year 2024-25
Budget 1500
Students Heli Mevada, Vishwa Parmar, Krisha Patel , Drashti Raiyani
Mentor Prof. J.M.Ramavat
Abstract Skin disease detection using image processing involves analyzing images of the skin to identify and classify abnormalities such as, rashes, rosacea, nevi, impetigo or tumors. Advanced algorithms can extract key features from these images, including texture, color, and shape, to accurately diagnose conditions. Overall, image processing offers a promising tool for more efficient and accessible skin disease?detection.