Weather Prediction System

A website that uses machine learning to predict the weather.

What it looks like:

Features

Flask web server for Debian/Ubuntu
Login and signup page
Cookie usage when user logs in
Database for user login credentials
Password hashing
Random Forest Classifier model that takes user's inputs and predicts weather

Setup Development Server

To create a quick-and-dirty server, follow these instructions:

Install Python and pip
pip install -r requirements.txt
Run the shell script
Go to 127.0.0.1:5000 for localhost or the private IP address of the server in a browser

Setup Production Server

To create a server the proper way, follow these instructions:

Install Python and pip
Install Nginx
Install gunicorn3
pip install -r requirements.txt
Change the last line in app.py to app.run(host='0.0.0.0', debug=False)
Use the Nginx configuration below
Use the gunicorn daemon configuration below
Go to the IP address of the server in a browser

Nginx Config

Create /etc/nginx/sites-enabled/flask-app and add the following:

server {
        listen 80;

        location / {
                proxy_pass http://127.0.0.1:8000;
                proxy_set_header Host $host;
                proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        }
}

Then unlink the default config and test the syntax:

sudo unlink /etc/nginx/sites-enabled/default
sudo nginx -t

If there are no errors, reload Nginx:

sudo nginx -s reload

Gunicorn Config

Create /etc/systemd/system/weather-prediction.service and add the following:

[Unit]
Description=Flask App

[Service]
Type=simple
ExecStart=/usr/bin/gunicorn3 --chdir /var/www/html/ app:app

[Install]
WantedBy=multi-user.target

Then start and check the service:

sudo systemctl start weather-prediction
sudo systemctl status weather-prediction

If there are no errors, enable the service:

sudo systemctl enable weather-prediction