Skin conditions are a major worldwide health issue, and successful treatment depends on early detection. This study uses Microsoft's machine learning framework, ML.NET, to present a machine learning-based skin disease prediction system. In order to predict possible skin disorders, the system lets users input skin photos, which are then examined by an image classification algorithm driven by deep learning. Data pre-processing, feature extraction, model training, assessment, and deployment within an intuitive web application are all included in the methodology. The technology provides real-time categorization and analysis, producing accurate predictions instantly. Data privacy and customized access are guaranteed by secure authentication features like user registration, login, and password recovery. Effective user administration is made possible via an admin panel. This technology, which is built for speed, scalability, and dependability, helps people and medical professionals identify skin diseases in their early stages. Early diagnosis is made more accessible and effective by utilizing ML.NET's deep learning capabilities to give high-precision classification with little processing overhead. Skin disorders are a major worldwide health issue, and successful treatment depends on early detection. This paper presents a skin disease prediction system that uses Microsoft's ML.NET framework and machine learning. Users can upload photographs of their skin, which are then examined by an image classification algorithm driven by deep learning to make precise predictions about possible skin conditions. Data pre-processing, feature extraction, model training, assessment, and deployment within an intuitive web application are all included in the methodology.
Computer Vision, Medical Image Processing, ResNet50, Image Classification, Machine Learning, ML.NET, and Skin Disease Prediction
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.