Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{175624,
        author = {Shahana K and Raji N and Reshmaa K J and Rajasri R K},
        title = {SKIN DISEASE DETECTION USING  IMAGE PROCESSING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4137-4143},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175624},
        abstract = {Dermatological issues impact a significant portion of the global population and may result in severe consequences if not addressed. The principal objective of this project is to develop an online application for the identification of skin problems utilizing image processing techniques. The system enables users to upload images of dermatological issues with a simple front-end developed with HTML, CSS, and JavaScript. The backend employs PHP to process these images, simulating basic image analysis to identify potential skin issues. Notwithstanding the system's scalability and its ability to incorporate robust machine learning algorithms for precise disease classification, this prototype employs a rudimentary detection method. This technique seeks to provide a straightforward tool for early diagnosis and prompt medical consultation through motivation.},
        keywords = {},
        month = {April},
        }