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Healthcare AI / Computer Vision

Skin Disease Detection System

Skin Disease Detection System

Project Overview

An AI-powered web application built with FastAPI that analyzes skin images to detect and classify various skin conditions in real-time.

Detailed Case Study

This project is a healthcare-focused web application designed to assist in the early detection of skin diseases using Deep Learning and Computer Vision. The backend is engineered with Python and the high-performance FastAPI framework, ensuring rapid and asynchronous processing of image uploads. Users can easily upload images of skin lesions or conditions through the web interface, which are then analyzed by a trained AI classification model (such as a Convolutional Neural Network). The system quickly returns predictions with confidence scores, aiding in preliminary diagnosis. This project showcases the integration of advanced medical AI models into a scalable web environment, emphasizing speed, accuracy, and practical healthcare solutions.

Technologies Used

Web App FastAPI Python Deep Learning Computer Vision Skin Disease Detection Healthcare AI Image Classification

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