Pradip-p/E-Health-Care
The web app which is used to remove the dependencies on the doctors, to help out the poor and helpless people with the normal medical checkup and to help people avoid paying huge amount to doctor unnecessarily. This project is made with Django, machine learning algorithms and deep learning (ANN and CNN).
Implements multi-disease prediction using pre-trained CNN and ANN models (pneumonia, diabetes, heart disease, malaria) that accept both symptom data and chest X-ray images for diagnosis. Built on Django with role-based access control for patients, doctors, and administrators, featuring appointment booking, medical records management, and automated email notifications for treatment precautions. Uses UV for lightweight Python dependency management and integrates Kaggle datasets for model training across medical imaging and tabular health data.
No commits in the last 6 months.
Stars
30
Forks
15
Language
JavaScript
License
MIT
Category
Last pushed
Nov 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Pradip-p/E-Health-Care"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
Gupta-Aryaman/ScanPlus
Handwritten Doctor's Prescription to Text Conversion, Classification System and Medicine Scheduler
asyml/ForteHealth
The project is in the incubation stage and still under development. ForteHealth is a flexible...
Abhishek-Mallick/JanSevak
JanSevak is a AI powered HealthCare Management System. The system allows users to register as...
nehulbeans/medimate
Navigate Wellness with Ease
Alvearie/patient_pathway_extractor
The Patient Pathway Extractor is an application to transform patient medical data into a compact...