anemia-diagnosis

Hemoglobin-Anemia-Detection-Prevention-Treatment-WebApp-Machine Learning_Random Forest

This project presents a real-time, interpretable web application for anemia risk prediction using clinical hematological and demographic data. Built with Streamlit and powered by a pre-trained Random Forest Classifier, the system provides accurate anemia diagnosis along with probability-based risk scores.

🩸 Diagnose anemia non-invasively with our AI-based web application for early detection and prevention of hemoglobin levels.

Published in IJEEE - Smart Anemia Diagnosis: A Non-Invasive Hemoglobin Optical Sense with AI-based WebApp for Early Detection & Prevention