SMART CNAM

This web application is built using the Python Flask Framework and SB Admin 2 Theme (Free version)

Welcome to Smart CNAM , an old data science project developed for my final year study project 2021. This project aims to predict the number of sick people with chronic diseases in Tunisia.

Features

• MongoDB database
• Session-Based authentication (Login and Register)
• SMTP Integration
• Gunicorn Deployment script
• MIT License
• SB Admin 2 Dashboard Theme
• Illustration from Undraw.co
• Support

Prerequisites

• Python >= 3.5
• Pip, Virtualenv
• MongoDb Database
• SMTP Relay (Gmail, Sendgrid)

Installing

Follow the steps below to install the application

$ git clone 
$ cd flask-admin-boilerplate
$
$ virtualenv env
$ source env/bin/activate
$ 
$ # Install requirements
$ pip install -r requirements.txt

Make sure you configure the SMTP and Mongodb Database before running the application

Navigate to init.py under the configurations folder to configure your database and SMTP

Running the application

After installing all the requirements and ensuring that the configurations are done correctly, run the app.

$ # Run the application
$ python app.py

Deployment

This web application has the basic configuration for deployment with Gunicorn. Makes it easy for the application to be deployed on Heroku.

License

This project is licensed under the MIT License

Acknowledgement

• Python Flask Framework - The web framework used
• SB Admin 2 Theme (Free version) - The UI theme used