Shadab Hafiz Choudhury |
1631335042 |
[email protected] |
The aim of this project was to create an app to predict the possibility an individual is infected by COVID-19 by looking at the external symptoms they exhibit, such as coughing or fever.
To run the project, please download the source code and follow the instructions.
- PyIT2FLS
- Numpy
- Matplotlib
- Pandas
- TKinter
- Tested to be working on Python 3.7 and Python 3.8
- Install all the necessary dependencies.
pip install -r requirements.txt
- Execute the main file.
python main.py run
The paper has been accepted to the Inderscience International Journal of Intelligent Information and Database Systems. If you refer to this project anywhere else, please cite it:
S.H. Choudhury, A.J. Aurin, T.A. Mitaly, R.M. Rahman, Predicting the possibility of COVID-19 infection using fuzzy logic system, Int. J. Intell. Inf. Database Syst., 14 (2021), pp. 239-256, 10.1504/IJIIDS.2021.116465