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https://github.com/gimnathperera/covid-prediction
Covid Prediction app is a machine learning based Covid-19 data analyzing dashboard updates daily that can visualize and make predictions about future Covid cases at the same time.
https://github.com/gimnathperera/covid-prediction
api cnn flask machine-learning reactjs redux styled-components
Last synced: about 1 month ago
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Covid Prediction app is a machine learning based Covid-19 data analyzing dashboard updates daily that can visualize and make predictions about future Covid cases at the same time.
- Host: GitHub
- URL: https://github.com/gimnathperera/covid-prediction
- Owner: gimnathperera
- Created: 2022-02-27T16:41:12.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-06-24T02:18:58.000Z (over 1 year ago)
- Last Synced: 2023-09-17T18:32:19.472Z (over 1 year ago)
- Topics: api, cnn, flask, machine-learning, reactjs, redux, styled-components
- Language: Jupyter Notebook
- Homepage: https://www.youtube.com/watch?v=3DJyT-pR2rs&t=2s
- Size: 1.89 MB
- Stars: 10
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Project Overview
🚀 Covid Prediction app is a machine learning based Covid-19 data analyzing dashboard updates daily that can visualize and make predictions about future covid cases at the same time. The app contains following features;
- Visualize number of dead, recoverd and active Covid cases by country
- Filtering options
- Visualize spreading of Covid cases in world map
- Make upcoming covid predictions for a given country
🚀 **Tech Stack** - Reactjs | Redux | Flask | Tensorflow | Machine Learning Algorithms | Styled Components
🚀 **Watch Full Demo on YouTube**
https://www.youtube.com/watch?v=3DJyT-pR2rs&t=1s
🚀 **Views**
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
### Prerequisites
- NPM / Yarn and Node.js installed
- Expo-CLI installed
- python installed
- Anaconda installed
### Installing the client app
Installing NPM modules
Execute these commands from the client directory
```
npm install
```
### Running the client app
and open another terminal on client directory
```
npm start
```
### Installing the client app
Open another terminal on server directory
```
conda create -n venv python=3.7
conda activate venv
conda install [dependencies]
```
### Running the server app
```
python app.py
```