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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
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 23355
Article Published : 9033
Total Authors : 23952
Total Reviewer : 831
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| Paper Title: | AI BASED SKIN DISEASE DETECTION AND TREATMENT RECOMMANDATION SYSTEM |
| Authors Name: | Arunkumar R , K Aswitha , C Sathyapriya , R Swathi |
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IJRTI_211383
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| Published Paper Id: | IJRTI2604108 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Many skin or body diseases are still difficult for people to identify in their daily lives, which causes them discomfort and makes them question whether the condition can be treated. Like in the modern world, everyone looks to Google search results, blogs, and chatbots for assistance. They don't know if the issues are being presented honestly. With AI specially trained to identify skin conditions and provide guidance or remedies, the proposed system will help the user and promote increased accountability for skin care. In addition to tracking their progress and comparing their uploaded photos over time for AI analysis, the mobile application will notify users of temperature changes and provide advice on what to do in those situations. A dermatologist in the area can be found, an appointment can be made, and the user can ask for more prescriptions and clarification. The mobile app focuses on providing skin care advice and treatment plans to prevent the condition from worsening. The backend will securely store the user's uploaded images, enabling them to track their healing progress. The AI will also provide daily guidance based on regional weather conditions in order to enhance care. Last but not least, the AI-infused mobile application will help the user treat a wound or illness efficiently. |
| Keywords: | --- Skin Disease, Dermatologist, Daily Tips, Doctor Consultation and Daily Progress. |
| Cite Article: | "AI BASED SKIN DISEASE DETECTION AND TREATMENT RECOMMANDATION SYSTEM", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a753-a757, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604108.pdf |
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| 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: IJRTI2604108
Registration ID:211383
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: a753-a757 Country: Salem, Tamilnadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604108 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604108 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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