Tag: AWS

Web App For Border Crossing Wait Time Forecast – Part 2

Keywords: Web App, Flask, AJAX, API, AWS, Virtual Environment

Previously, I built the Flask web app that runs on my local machine for predicting border crossing wait time. This time I’ll show how it gets deployed on AWS and becomes a public available web app.

Here is the link to web app http://35.164.32.109:5000/

There is a small change to my workflow. Instead of using Facebook Prophet, I changed to build an XGBoost model due to Prophet requirement of minimum 4GB memory. AWS free tier EC2 service only has 1GB memory.

Model is rebuilt daily using the new wait time records available from prior day, and makes forecasts for the next 7 days. The last 7 days records are held out for model validation and RMSE is used for model evaluation.

Continue reading “Web App For Border Crossing Wait Time Forecast – Part 2”

Web App For Border Crossing Wait Time Forecast – Part 1

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
Continue reading “Web App For Border Crossing Wait Time Forecast – Part 1”