Found 15 repositories(showing 15)
ShreyaKumari13
This is a web application which uses multiple ML models, Python(Flask and NLTK) in the backend for predicting heart attack percentage of a person, Front-End is designed through HTML/CSS & JS, also integrated a chatbot for seamless user experience which replies with common diseases treatment recommendations.
tanvir0ahmed
Cardio Detection
ABBUHUZAIFA28
No description available
developeradnanaziz
No description available
MaPi-ops
No description available
PrabhavSinha
Detect the risk of cardiovascular diseases by entering medical details and report.
ArifinS
No description available
rza4ev
By performing various operations on our dataset, we can add new features to determine whether a person has heart disease
34556677
AI-based Heart Risk Prediction System that uses OCR to extract medical report data, identifies missing clinical features, and applies a hybrid machine learning model to classify heart disease risk as Low, Moderate, or High through a secure, user-friendly web application.
sabitaghorai
No description available
vatsalparmar-2006
An end-to-end machine learning project for predicting cardiovascular disease risk from clinical features.
34556677
AI-based Heart Risk Prediction System that uses OCR to extract medical report data, identifies missing clinical features, and applies a hybrid machine learning model to classify heart disease risk as Low, Moderate, or High through a secure, user-friendly web application.
lsdiniz
No description available
Prajan-v
AI-Powered Application for Early Detection of Heart Disease
sonalimadhupiyagithub
CardioDetect is an AI-powered web app for heart disease detection and 10-year risk prediction. Built with Next.js and Django, it uses XGBoost, OCR (OpenCV + Tesseract), and SHAP for explainability. Features include JWT auth, role-based access, PDF reports, and HIPAA/GDPR-aligned security.
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