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https://github.com/nixhantb/onsite-health-diagnostic-ohd

The project aids users to predict the Diseases such as cancer, pneumonia , Heart failure etc in web application. Please use the website link mentioned below.
https://github.com/nixhantb/onsite-health-diagnostic-ohd

brain-tumor-classification deep-learning diabetes-prediction disease disease-modeling disease-prediction healthcare heart-failure-prediction keras machine-learning malaria-detection pandemic pneumonia-detection project

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The project aids users to predict the Diseases such as cancer, pneumonia , Heart failure etc in web application. Please use the website link mentioned below.

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README

        

# Onsite Health Diagnostic (OHD)

Onsite Health Diagnostic (OHD) is the web application that allow users to predict whether the user has been infected with a menacing disease or not. These diseases can be very dangerous to health if they are not treated properly. The main objective of OHD is to help people predict the disease in case of absence of medical professionals, strikes or any related uncertainties.

Official Documentation of the project

- [Documentation](https://nix-code.github.io/Onsite-Health-Diagnostic-OHD/)

## Table Of Contents

- [Datasets](#Datasets)
- [Clone](#Clone)
- [Developers](#Developers)
- [Licence](#Licence)
- [Note](#Note)

## Datasets
- Pneumonia : [Dataset](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)
- Brain tumour : [Dataset](https://www.kaggle.com/ahmedhamada0/brain-tumor-detection)
- Diabetes : [Dataset](https://github.com/Nix-code/Disease-Prediction-and-Deployment/blob/main/src/model/Diabetes/diabetes.csv)
- Heart disease : [Dataset](https://github.com/Nix-code/Disease-Prediction-and-Deployment/blob/main/src/model/Heart%20disease/heart.csv)
- Breast Cancer : [Dataset](https://github.com/Nix-code/Disease-Prediction-and-Deployment/blob/main/src/model/Breast%20Cancer/data.csv)
- Malaria-Detection : - [Dataset](https://lhncbc.nlm.nih.gov/LHC-publications/pubs/MalariaDatasets.html#:~:text=Abstract%3A,the%20Malaria%20Screener%20research%20activity.&text=The%20dataset%20contains%20a%20total,of%20parasitized%20and%20uninfected%20cells.)

## Clone

```
git clone [email protected]:Nix-code/Onsite-Health-Diagnostic-OHD.git
```
- To run on your local machine, make sure you have installed every requirements.
```
$ export FLASK_APP=app
$ flask run
* Running on http://127.0.0.1:5000/
```
- If you are in a Linux Distribution
``` $ cd Onsite-Health-Diagnostic-OHD
$ python3 app.py
```

## Developers
[Rohan Patankar](https://github.com/rohanpatankar926) - ```Machine Learning & Deployment```

[Apsara Budhathoki](https://github.com/ApsaraBudhathoki) - ```Web Design & Development```

[Nishant Banjade](https://github.com/Nix-code) - ```Machine Learning & Deployment```

## Licence

[MIT Licence](https://github.com/Nix-code/Onsite-Health-Diagnostic-OHD/blob/main/LICENSE)

#### Special Thanks to Late. Binit Ghimire AKA Internet Hero for giving idea for Documentation Building