Keywords: Facebook Prophet, Web App, Flask, AJAX, API, AWS

About a year ago I built a predictive model for predicting border crossing wait time. There were a lot of feature manipulation and parameter tweaking. Although results were encouraging, I always wanted to simplify the process and also make the model available for public use.

After spending two weekends researching and coding (as I have no prior knowledge of Prophet or Flask), here is the improved workflow:

1. Retrieve border crossing wait time from Cascade Gateway API
2. Build predictive model for future crossing using Python + Facebook Prophet
3. Develop web app REST API using Flask, HTML, CSS, ajax
4. Deploy web app on AWS
5. Refresh data and re-build predictive model daily