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Skin Guard Pro: AI Powered Skin Disease Detection System.
Mr. H.M. Gaikwad, Vansha Nikam, Sawant Poorva, More Lokesh, Yeola Vaishnavi
DOI: 10.17148/IJARCCE.2026.15379
Abstract: Skin diseases require early detection, continuous monitoring, and timely medical intervention, yet traditional healthcare systems often lack real-time screening solutions, structured digital records, and accessible dermatological support beyond hospital visits. Challenges such as delayed consultations, misdiagnosis, poor awareness of symptoms, irregular follow-ups, limited availability of specialists in rural areas, and subjective visual examination reduce treatment effectiveness and may lead to serious complications. To address these issues, this project proposes Skin Guard Pro β an AI Powered Skin Disease Detection System that integrates intelligent image analysis, symptom-based evaluation, real- time disease classification, preventive guidance, and secure data management within a unified digital platform. The system enables users to upload skin images, enter symptoms, and receive AI-driven predictions using advanced deep learning techniques such as Convolutional Neural Networks (CNNs). It further provides structured disease information, precautionary measures, and recommendations for medical consultation when necessary. By digitizing preliminary dermatological screening and ensuring accessible, data-driven diagnosis support, the proposed solution enhances early detection, improves patient awareness, promotes proactive care, and enables more efficient, reliable, and personalized skin healthcare management.
Keywords: Artificial Intelligence (AI), Skin Disease Detection, Convolutional Neural Network (CNN), Deep Learning, Medical Image Processing, Dermatology, Image Classification, Early Diagnosis, Healthcare Technology, Digital Health Systeme
Keywords: Artificial Intelligence (AI), Skin Disease Detection, Convolutional Neural Network (CNN), Deep Learning, Medical Image Processing, Dermatology, Image Classification, Early Diagnosis, Healthcare Technology, Digital Health Systeme
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How to Cite:
[1] Mr. H.M. Gaikwad, Vansha Nikam, Sawant Poorva, More Lokesh, Yeola Vaishnavi, βSkin Guard Pro: AI Powered Skin Disease Detection System.,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15379
