Amirbeek/COVID-19-Detector-Web-Application
A Django-based web app for diagnosing COVID-19 from chest X-rays. Using pre-trained models MobileNet, it enhances diagnostic accuracy for COVID-19 and related conditions. The app offers a simple interface for uploading X-rays, delivering quick, reliable diagnostic results to aid healthcare professionals.
This web application helps healthcare professionals quickly assess chest X-ray images for potential COVID-19 cases. You upload an X-ray image, and the system processes it using an AI model to provide an instant prediction on whether it indicates COVID-19, complete with confidence scores. It's designed for doctors, radiologists, and other medical staff seeking a rapid diagnostic aid.
No commits in the last 6 months.
Use this if you need a fast, accessible tool to assist in the preliminary diagnosis of COVID-19 from chest X-rays, reducing reliance on traditional testing methods.
Not ideal if you require a definitive, standalone diagnosis, as this tool is intended as an aid and not a replacement for comprehensive medical evaluation.
Stars
9
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 21, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Amirbeek/COVID-19-Detector-Web-Application"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and...
kaushikjadhav01/COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans
COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT...
NeelBhowmik/xray
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
priyavrat-misra/xrays-and-gradcam
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
jannisborn/covid19_ultrasound
Open source lung ultrasound (LUS) data collection initiative for COVID-19.