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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | TvakScan: AI-Powered Dermatological Analysis Application for Early Skin Condition Detection and Diagnosis |
| Authors Name: | Suryasen , Abhishek Jadaun , Dr. M. Lakshmi |
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| Author Reg. ID: |
IJRTI_202672
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| Published Paper Id: | IJRTI2504237 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This paper presents TvakScan, an AI-powered mobile application designed to assist in early detection and management of skin conditions through machine learning. By leveraging Core ML and cloud-based storage, the system enables patients to scan their skin, receive AI-driven diagnostic predictions, and consult with dermatologists remotely. The methodology involves training an ML model on a diverse dataset of skin conditions and integrating it with an intuitive mobile interface. TvakScan aims to enhance accessibility to dermatological care, optimize diagnosis accuracy, and promote proactive skin health management. This study outlines the system’s architecture, implementation, validation process, and market fit analysis. |
| Keywords: | Skin Condition Analysis, Machine Learning, Core ML, Dermatology, AI in Healthcare, Mobile Health Applications, Cloud Storage, Jira |
| Cite Article: | "TvakScan: AI-Powered Dermatological Analysis Application for Early Skin Condition Detection and Diagnosis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c109-c118, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504237.pdf |
| Downloads: | 000334 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504237
Registration ID:202672
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c109-c118 Country: Kattankulathur, TamilNadu, India Research Area: Medical Science Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504237 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504237 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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