50000 Airbnbs in New York City over the last 10 years. We visualize, relative to location, the average prices of staying the night in the Big Apple.
Find U of U with arcgis api...woot!
Web based exploration game
A trip planning tool for people with electric vehicles wanting to go on road trips.
Building a community to keep us safer.
Developed by 4 ASU students in 36 hours, Locale is a geolocation program that helps you discover new parts of the world to enjoy.
Location-based studying made quick and easy.
Finding potential blood donors in the vicinity during an emergency. #1Pint3Lives
A new kind of real world hybrid AI travel agent
An application to plan a better future for the urban forest in cities.
Flyable will be a website designed to help you find your preferred airport and then predict the chance your flight will be delayed and the duration of that delay.
GIS for crowdsourced stewardship of the Earth—users locate available gardens or gardeners with mobile devices, GROW A PEAR cooperatively and donate the excess to local food pantries
Make your move.
Tell us your travel preference and we will handle the rest!
Bitten by a travel bug, but don't know where to go? Is finding a good, safe place within your budget too taxing? Travel Bug simplifies the planning so you can focus on exploring!
identifying ideal clients for photovoltaic systems
We can use data and a human approach to prevent traffic deaths in the Houston area
This project looks closely into two Socioeconomic Scenarios of Future World Development, how these scenarios affect life, and what we can do to change it.
Climate change is dangerous to our mental health but if we can get help where it's needed, we can help more people to become sustainable and hopeful of changing the situation.
Be in the know when weather impacts your mission.
Lead a healthy lifestyle, one macro at a time
An AR experience to view community needs in and around College Park. With this application it is easy to visualize needs and participate in change for local communities
Emergency Medical Service flow reimagined with efficiency in mind!
We are using cutting edge GANs machine learning to predict the best areas to install solar panels and the people most likely to be targeted by investment fraud.