healtcare-ai

⭐ Awesome Medical QA/RAG: A curated collection of 250+ papers, datasets, and benchmarks for Healthcare AI, Medical RAG, Knowledge Graphs, Clinical LLMs, and Multilingual Reasoning.

AI-powered mental health screening platform using behavioral analytics, voice analysis, facial emotion recognition, and ensemble ML models.

High-performance Rust backend powering Digital World Medicine: APIs, Telegram bots, and clinical tools.

Machine learning project for predicting heart disease risk using classification models and healthcare data analysis.

Multi-disease risk prediction platform diabetes, heart disease, stroke, liver disease & kidney disease with SHAP explainability, a FastAPI backend, and a Streamlit dashboard. Trained on synthetic data for demonstration purposes.

Pregnancy risk classification using ML models in Google Colab.

3D Attention U-Net for lung tumour segmentation from CT scans using the LIDC-IDRI dataset | Test Dice: 0.7842 | TensorFlow | Deployed on Hugging Face

Hybrid PII/PHI/financial data detection engine — regex + spaCy NER + Claude LLM arbitration with a full audit trail. Live demo + REST API.

Image processing project using Deep learning system for brain tumor classification using MRI scans. Achieves multi-class detection (glioma, meningioma, pituitary, no tumor) .

Real-time speech-to-text medical translation web app with two implementations: OpenAI GPT-3.5 (medical-context-aware) and Google Translate API, built with Flask and Socket.IO

Machine learning model for ECG signal classification using Random Forest.

A Flask-based web application for cervical pre-cancer detection using VIA images and a custom machine learning model. Includes patient data input, image upload, automated detection, segmentation visualization, and detection history. Built for academic and research use.

Deep Learning-based ECG Arrhythmia Classification using CNN + BiLSTM to detect cardiac patterns with performance analysis and interactive Streamlit visualization.