We used gas price data with Machine Learning to create an app that took in user inputs of a road trip and gave the user a total cost for gas for that trip. The data was collected from www.eia.gov (https://www.eia.gov/opendata/qb.php?category=240691) via API.
We set up a backend server using AWS and PostgreSQL. We calculated future prices prices of gas using Scikit Learn.
Flask server to host the site. Python was used to calculate the gas cost.
Finally, we used JavaScript, JQuery, Ajax, and Google Maps API to build the app and take in user information and push back total gast cost.
(When "Calculate" button is clicked)
(After "Close" button is clicked)
