Healthcare AI / Computer Vision
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