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  Published Paper Details:

  Paper Title

SkinScan: AI-Powered Early Detection & Solution

  Authors

  Yuvaraj K,  Shilpa N S,  Bindu K Reddy,  Nandalur Bhagyasri,  Preethi P

  Keywords

AI-driven dermatology, Skin disease detection, Image-based analysis, Severity assessment, Risk evaluation, Early diagnosis, Personalized skin health monitoring

  Abstract


This project presents an AI-driven dermatology application designed to assist users in identifying skin diseases through image-based analysis. By leveraging advanced algorithms, the app provides accurate diagnostic predictions along with relevant educational content and preliminary treatment suggestions. A key feature is the integrated Severity Analysis and Risk Assessment module, which categorizes conditions as mild, moderate, or severe and evaluates personalized risk based on factors such as skin type, age, medical history, and UV exposure. This enhances clinical relevance and supports better decision-making for users, especially in underserved regions with limited access to dermatologists. Overall, the system aims to bridge the gap between technology and professional skincare by offering a reliable, accessible tool for early detection and monitoring.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT25A1177

  Paper ID - 297852

  Page Number(s) - j54-j59

  Pubished in - Volume 13 | Issue 11 | November 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Yuvaraj K,  Shilpa N S,  Bindu K Reddy,  Nandalur Bhagyasri,  Preethi P,   "SkinScan: AI-Powered Early Detection & Solution", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 11, pp.j54-j59, November 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A1177.pdf

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Call For Paper December 2025
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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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