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https://github.com/manikantasanjay/covid_xray_detector_flask_app
A simple flask app for detecting covid-19 from chest x-ray images.
https://github.com/manikantasanjay/covid_xray_detector_flask_app
deep-learning flask h5py keras machine-learning python
Last synced: 3 days ago
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A simple flask app for detecting covid-19 from chest x-ray images.
- Host: GitHub
- URL: https://github.com/manikantasanjay/covid_xray_detector_flask_app
- Owner: ManikantaSanjay
- License: mit
- Created: 2020-12-20T07:57:12.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-07-13T15:52:08.000Z (over 1 year ago)
- Last Synced: 2023-07-13T16:50:44.186Z (over 1 year ago)
- Topics: deep-learning, flask, h5py, keras, machine-learning, python
- Language: CSS
- Homepage:
- Size: 73.4 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Hello there, health tech enthusiasts! 👋🩺
Welcome to our **COVID-19 X-Ray Detector Flask App** project. This is where we're using the power of machine learning to detect COVID-19 from chest X-ray images.
## What's it all about? 🤔
This project is a Flask-based web application that uses ensemble modeling and progressive image scaling to recognize COVID-19 from medical CT scan imaging. It achieves over 86% accuracy, which is pretty impressive!
## How does it work? 🛠️
### 1> Clone the repo
```bash
git clone https://github.com/ManikantaSanjay/covid_xray_detector_flask_app.git
```
### 2> Change the Directory
```bash
cd covid_xray_detector_flask_app
```
### 3> Installing the Requirements
```bash
pip install requirements.txt
```
### 4> Running the Flask App
```bash
flask run app.py
```
#### To view the App, Open your browser at http://121.0.0.1:5000
## Important Note 📝
The `model.h5` file contains the pre-trained weights saved from model training.
## Dataset 📊
We've used data from this [Kaggle dataset](https://www.kaggle.com/plameneduardo/sarscov2-ctscan-dataset).
## Contributing 🤝
Please contribute using [GitHub Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and open a pull request.
## Support 🙌
If you like what you see, give us a star ⭐. Thanks and happy coding! 🚀
## License 📄
This project is licensed under the MIT License.