Derma Tech: Leveraging Machine Learning for Smart Skin Disease Diagnosis and Personalized Treatment Solutions

DermaTech is a project focuses on creating an advanced system that leverages machine learning (ML) techniques to revolutionize skin disease detection and treatment recommendation processes. By collecting an extensive dataset comprising images of various skin conditions, the system employs a Convolutional Neural Network (CNN) model for highly accurate disease identification. Once the condition is detected, the system suggests appropriate remedies tailored to the diagnosed disease, enhancing the precision and effectiveness of care. This innovative solution integrates cutting-edge ML methodologies with practical healthcare applications, aiming to address challenges in both diagnosis and treatment.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-04-25
DOI
https://doi.org/10.21275/sr25421202638
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Derma Tech: Leveraging Machine Learning for Smart Skin Disease Diagnosis and Personalized Treatment Solutions

Muhammad Faisal, Jogimol Joseph
International Journal of Science and Research (IJSR)
Cutaneous Melanoma Detection and Management
article

Derma Tech: Leveraging Machine Learning for Smart Skin Disease Diagnosis and Personalized Treatment Solutions

Muhammad Faisal, Jogimol Joseph
article en

Abstract

DermaTech is a project focuses on creating an advanced system that leverages machine learning (ML) techniques to revolutionize skin disease detection and treatment recommendation processes. By collecting an extensive dataset comprising images of various skin conditions, the system employs a Convolutional Neural Network (CNN) model for highly accurate disease identification. Once the condition is detected, the system suggests appropriate remedies tailored to the diagnosed disease, enhancing the precision and effectiveness of care. This innovative solution integrates cutting-edge ML methodologies with practical healthcare applications, aiming to address challenges in both diagnosis and treatment.

International Journal of Science and Research (IJSR)Vol. 14(4)
Good health and well-being
Openalex Percentile: Top 87%
Cutaneous Melanoma Detection and Management
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