A website for analysing campus foot traffic

Campus Corner is a quick-access website that uses data collected on UNC Charlotte's Wifi to analyze and predict density on campus. It utilizes machine learning to provide the user with the best times to go to a specific building on campus.

The data that was used for traffic was wifi data logs that was given to us by the university. Using these logs, we generated 24/7 traffic patterns for the 6 most prominent buildings on campus by developing a Jupyter Notebook script that converts raw University Wi-Fi log files into a meaningful building traffic data frame

We then built a mobile/desktop-friendly website for viewing the University buildings' traffic data and heatmaps in an easily accessible format using React js. The website's backend follows a serverless architecture powered by Firebase/Firestore