The United States has suffered 265 climate disasters between 1980 and 2020 costing over 1.775 trillion dollars based on the National Oceanic and Atmospheric Administration records. Based on an IPCC report, the direct risks of global climate change will have significant detrimental impacton urban areas. Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. In recent times, social media has emerged as a low-latency data source to quickly understand disaster situations. An example of ongoing natural disasters are the two hurricanes in the Gulf Coast and forest fire in California. The goal of this project is to create a tool that leverages Twitter as a social sensor to collect, analyze and visualize disaster related tweets.
This program requires Python 3.8.3 and Nodejs.
To install the dependecies required for the back-end, you can do pip install -r requirements.txt within the back-end folder.
To install the dependencies required for the front-end, you can do npm install within the root folder.
To install this project, you can either clone it using git clone or by downloading the zip file.
To run this program, you can do npm start within the root folder. This will start the front end.
To run the back-end, you can do python app.py.
In order for full functionality, both programs must be running simultaneously.