DERMATIFY: Skin Disease Detection using ML

DERMATIFY:  Skin Disease Detection using ML

Aastha Tiwari1, Himanshu Sahu2, Prem Kumar Painkra3  Ankush Kumar Singh4,

Kamlesh Korche5

1Assistant Professor of computer science engineering in  GEC, Bilaspur

2 Student of  computer science engineering in GEC, Bilaspur

3 Student of  computer science engineering in GEC, Bilaspur

4 Student of  computer science engineering in GEC, Bilaspur

5 Student of  computer science engineering in GEC, Bilaspur

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Abstract - Dermatify is a project aimed at developing a machine learning model for automated skin lesion detection and classification. The objective of the project is to create a reliable and accurate tool for dermatologists and healthcare professionals to aid in the diagnosis and treatment of skin diseases. The machine learning model is trained on a large dataset of skin lesion images and utilizes state-of-the-art image processing and classification techniques. The model is designed to identify various types of skin lesions, including malignant and benign ones, with high accuracy. The ultimate goal of Dermatify is to improve the efficiency and accuracy of skin lesion diagnosis, leading to better patient outcomes and healthcare cost savings.

Key Words:   detection , diagnosis, machine learning