This repository presents a dual-disease diagnostic system using Gradient Boosting Machines (XGBoost & LightGBM) on clinical blood parameters. The system demonstrates 100% accuracy for both disease predictions by employing target realignment, class imbalance correction, and feature importance analysis. The pipeline is intended as a decision-support.
Hemoglobin-Anemia-Detection-Prevention-Treatment-WebApp-Machine Learning_Random Forest
Revolutionary AI-powered anemia detection platform combining browser-based ML (98.75% accuracy) with Gemini AI. Features intelligent temporal analysis comparing past vs current blood reports to track health progression, enabling early intervention for 3 billion at-risk individuals globally.
Published in IJEEE - Smart Anemia Diagnosis: A Non-Invasive Hemoglobin Optical Sense with AI-based WebApp for Early Detection & Prevention
Backend API for Anevia - An AI-powered eye conjunctiva scanning system for anemia detection
🩸 Diagnose anemia non-invasively with our AI-based web application for early detection and prevention of hemoglobin levels.
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