Authors: Anuradha Muttamwar, Bhumika Balpande, Shantanu Gawai
Abstract: Skin diseases are a major health concern worldwide, but getting an appointment with a dermatologist can be tough, especially in rural areas. That's why we've created a web-based system that uses artificial intelligence to help diagnose skin conditions. Our system is built using the Node.js framework and combines a powerful image classification model with a user-friendly website. Here's how it works: users upload pictures of their skin through a simple interface, and our system uses a special kind of neural network called a Convolutional Neural Network (CNN) to analyze the image and make a prediction. We've trained our model using a technique called transfer learning, which allows it to learn from existing knowledge and apply it to new situations. Our model can accurately diagnose five common skin conditions: eczema, acne, psoriasis, dermatophytosis, and benign nevi. We've designed our system to be fast and efficient, even when lots of people are using it at the same time. Our tests show that it can handle up to 100 users simultaneously without slowing down, and it can give results in under a second. We're excited about the potential of our system to provide a low-cost, accessible way for people to get a preliminary diagnosis and take the first step towards getting treatment. Our system is made up of three main parts: a website that users interact with, a backend server that handles the image analysis, and a database that stores all the information.
