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
An Explainable Multimodal Deep Learning Framework for Non-Invasive Anemia Detection.
Offline-first PWA for ASHA/ANM workers: explainable diabetes risk, photo-based anemia screening, and a safety guardrail — with a village outbreak radar. Works with no network, in 10 Indian languages. Screening aid, not a diagnosis.
AI-powered anemia detection system using deep learning and computer vision for real-time healthcare analysis.
🩸 Diagnose anemia non-invasively with our AI-based web application for early detection and prevention of hemoglobin levels.
Deep Learning-based anemia detection system using CNN and Streamlit for non-invasive healthcare screening.
Notebooks used for my Minor Project for palm-image anemia detection with ConvNeXt baseline and ensemble experiments, which was then later used in the Major Project
Published in IJEEE - Smart Anemia Diagnosis: A Non-Invasive Hemoglobin Optical Sense with AI-based WebApp for Early Detection & Prevention
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.
Final Year Project: ML-powered anemia detection web app using ensemble AI models.
Medical image classification system on the AneRBC dataset using custom CNNs, transfer learning (MobileNetV2, ResNet18, DenseNet121), and Explainable AI (Grad-CAM) for anemia diagnosis.
Backend API for Anevia - An AI-powered eye conjunctiva scanning system for anemia detection
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