AI-Powered Medical Image Diagnosis System

Description

This project is a full-stack AI medical diagnostic system built with Flask, TensorFlow/Keras, NumPy, OpenCV, and Scikit-Learn, featuring a modern frontend using HTML, CSS, Tailwind CSS, and JavaScript.
It uses six deep-learning models to detect and classify various medical conditions, including brain tumors, heart arrhythmia, breast cancer, diabetic retinopathy, osteoporosis, and skin cancer.
Users can upload medical images, which the system preprocesses and analyzes to provide disease predictions along with confidence levels.
Overall, the system delivers fast and accurate automated medical image analysis, demonstrating strong skills in deep learning, computer vision, and full-stack development.