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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 10

Published on: October 2026

AI SKIN DISEASE DETECTION SYSTEM

Mr. Ayaz Shaikh Sachin Kumar Saif Sayyed Priyanshu Duratkar Bhushan Nagdeve Sanmay Gurudeo

Department of Computer Science and Engineering, Nagpur Institute of Technology, Nagpur, Maharashtra, India
DOI:https://doi.org/10.55041/ijcope.v2i10.031

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Abstract

Skin diseases and cutaneous malignancies present a growing global healthcare burden, exacerbated by a chronic shortage of specialized dermatologists. This paper evaluates AI SkinScan, an end-to-end computer-aided diagnostic (CAD) system that integrates deep convolutional neural networks with zero-shot vision-language models for automated dermatological triage. The pipeline features an OpenCLIP (ViT-B/32) gatekeeper for non-skin input filtering and a ResNet-18 classifier fine-tuned on the HAM10000 dataset across seven diagnostic categories. Deployed as a full-stack mobile application (React 19, FastAPI, Capacitor 8), the system integrates image quality validation, clinical symptom questionnaires, differential diagnosis ranking, and severity-graded triage reporting. Evaluated on an independent ISIC 2018 holdout test set (n=1,512), the system achieved a validation macro AUC-ROC of 0.8406 and a test macro AUC-ROC of 0.7958. We present a rigorous analysis of classification performance, clinical safety triggers, and deployment considerations.

How to Cite this Paper

Shaikh, A., Kumar, S., Sayyed, S., Duratkar, P., Nagdeve, B. & Gurudeo, S. (2026). AI Skin Disease Detection System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(10), 1-9. https://doi.org/10.55041/ijcope.v2i10.031

Shaikh, Ayaz, et al.. "AI Skin Disease Detection System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 10, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i10.031.

Shaikh, Ayaz,Sachin Kumar,Saif Sayyed,Priyanshu Duratkar,Bhushan Nagdeve, and Sanmay Gurudeo. "AI Skin Disease Detection System." International Journal of Creative and Open Research in Engineering and Management 02, no. 10 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i10.031.

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  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Oct 07 2026
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