Human Skin Disease Detection using Machine Learning

Human Skin Disease Detection using Machine Learning

Prof. Swati Salunkhe*1, Nikita Takne*2, Mugdha Tadwalkar*3, Yash Tambat*4, Pushkar Visave*5

*1Professor, Jayawantrao Sawant College of Engineering, Pune, Maharashtra, India

*2 Jayawantrao Sawant College of Engineering, Pune, Maharashtra, India

*3 Jayawantrao Sawant College of Engineering, Pune, Maharashtra, India

*4 Jayawantrao Sawant College of Engineering, Pune, Maharashtra, India

*5 Jayawantrao Sawant College of Engineering, Pune, Maharashtra, India

Abstract:

Due to its intricacy, dermatology is one of the most unpredictable and challenging fields to diagnose. To determine the skin condition a patient may be experiencing; numerous testings are frequently required in the field of dermatology. Depending on the practitioner, the duration could change. This is also based on their personal experience. Therefore, a system that can diagnose skin diseases without any of these limitations is needed. We suggest an automated image-based method that uses machine learning classification to identify skin disorders. Based on numerous aspects of the photographs, this system will use computational technique to analyze, process, and relabel the image data. Images of the skin are filtered to remove undesirable