This project is use to predict COVID-19 Risk on the basis of available data of India (Available in dataset folder) using 2 different data classification algorithms i.e Naive Bayes algorithm and Decision tree algorithm.
This project is deployed on heroku. click here to view
$ git clone https://github.com/Ketan2010/COVID-Risk-Prediction.git
$ cd COVID-Risk-Prediction
$ virtualenv flask
$ Scripts\activate
$ pip install -r requirements.txt
$ app.py
├── dataset
│ └── train.csv
| └── test.csv
├── static
│ └── images for frontend
├── templates
│ └── index.html
├── Procfile
├── README.md
├── app.py
└── requirements.txt
- python3 with Flask, numpy, scikit-learn, pandas
- for frontend: HTML, CSS