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GRENZE International Journal of Engineering and Technology Vol. 12 (2026), Issue 2

Skin Disease Detection using AI and Deep Learning Techniques

Authors

Arjun Singh, Sanjeevani Rawat, Yuvraj Singh, Yash Rajveer Shahi, Arun Kumar Singh

Abstract

In the recent years, As the technology is rising, the development in the healthcare sector is also increasing by using technology like AI (Artificial intelligence) that transformed the healthcare system completely which create and implacable impact in the individual’s life related which also provide comfort of early disease identification and treatment. This study presents an AI-Based Skin Disease Detection System that allows users to upload images of damaged skin texture, color, and patterns using Convolutional Neural Networks (CNN) and transfer learning techniques, correctly recognizing probable ailments such as eczema, psoriasis, and acne. This system is distinguished itself by providing the feature that it also detects the, Indian and darker skin tone which make this system unique and outstanding. This model also supports in bilingual language in Hindi /English, it provides doctor consultation support, it also stores record of the patient activity etc. As the primary goal of the system is to make dermatological consultant accessible to everywhere and trustworthy, reliable platform using technology like AI and Deep-learning.