Machine Learning / Medical AI• Case Study
OvarAI
Metric & Key Achievement
96.7% classification accuracy
Tech Stack:PythonDual-Branch CNNGLCMStreamlit
Case Study & Project Details
OvarAI is an AI-powered web application that classifies 5 ovarian conditions from ultrasound images, using a Dual-Branch CNN architecture combined with GLCM (Gray-Level Co-occurrence Matrix) texture features. The application was deployed via Streamlit and achieved a classification accuracy of 96.7%.