The Dallas Examiner
EARTHACK is an event designed to inspire young minds to use technology to help solve real world issues with innovative solutions that can be used locally and on a global scale.
Up to 1,200 high school and college students form development teams during the yearly contest, held during the Earth Day Texas event at Fair Park. The diverse teams are given 36 hours to complete a challenge presented to them that will address real-life problems through a technology-based solution, according to Ryan A. Brown, CEO of EDTx.
“But what’s so neat about it is all the solutions are going to be with a positive environmental impact in mind,” Brown said.
This year, in partnership with HackDFW, participants’ skills were tested by a challenge to create an application for cellphones that would cleanly, efficiently benefit humanity – and especially encourage or promote responsibility towards the environment.
Seven finalist teams were chosen to outline the apps they developed on-site that weekend.
“I thought this was a great experience considering it’s my first time coming to EARTHACK, or a hackathon in general,” said University of North Texas student Chelsea Grear. “And I just have a bunch of wonderful teammates who actually helped me along the way get over some learning curves.”
Grear was part of Team RIDR, the group that took home first place with their mobile app that pairs with Toyota to get their telemetry data and State Farm to gather their reward points.
“RIDR is a ridesharing application, and it’s to help you get from one place to another, save money and reduce your carbon footprint,” said co-creator Chad Leito.
Once a user logs in, the app queries the user about musical tastes, hobbies and regular travel routes. RIDR will then line up people in the area with like interests who take similar routes at similar times. The app splits the cost of the trip between riders; it also tracks the money being saved by each user and indicates how much less carbon dioxide is being released into the atmosphere simply by carpooling.
RIDR was not only awarded the grand prize, but they also won separate corporate prizes from State Farm and Toyota Connected.
Coming in second place, Team Symptly Aware also won a State Farm sponsor prize. The Richardson High School group created an app that could track upswings in the number of local cases of disease by having users enter their ZIP code and symptoms. It would not only be a way for local hospitals to pinpoint the beginning of possible outbreaks and prepare in advance for proper storage of medicine, but the information could also potentially be fed to schools and the CDC – all while keeping individual privacy safe, since ZIP codes would be the only identifying data entered. Users would also be able to employ Google Maps to see what might be developing in their neighborhoods.
From a commercial angle, a subscribing pharmaceutical company or clinic could focus advertising in such regions for treatments of the ailments reported.
The inspiration for Symptly Aware derived from a past incident the team experienced.
“Back in 2014, our school was kind of struck with an unknown disease; 600 students were absent in a span of three days,” explained co-developer Sandra Nguyen. “It was actually a gastrointestinal illness and we had to cancel so many competitions, we deemed it the ‘RHS plague.’”
The UNT-based Team Aerium Solutions was the third place winner. The team implemented a small drone-based app for which a guided flying device could be sent up to locate unseen patterns of pollution through the use of sensors attached to the drone. Members of the team offered an example wherein a quadracopter equipped with a carbon dioxide sensor could circle around a certain flight range.
Should CO2 gas be discovered within that range, the drone could pinpoint the origin of the potential pollution; the findings would be sent to the smartphone app, along with flight pattern data, on a grid map. Aerium Solutions hopes to apply to the FAA for testing permits to further develop the technology.
Winner of the Best Environmental Impact prize was Team SeeGreen. Their app assists users in cutting down on unnecessary waste and promotes responsible disposal of waste. By use of a smartphone’s camera, a user can shoot a photo of refuse, which will then be categorized as trash, recycling or compost, helping the user to take a more selective action with the waste. The artificial intelligence Chatbot aspect to the app also communicates through text or language and learns how to better respond to user’s questions.
The app developed by Team Pick It Up from UT Austin makes it easier for users to report excessive trash or an illegal dumpsite, turning such actions into an interactive game. The game is intended for individuals aged 19 and younger who may not fully understand the environmental impact of their own littering. By using the app’s camera function, trash found on the street can be analyzed and choices can be offered from the analysis.
“If you have time, and you want to, you can pick up the trash, and when you click on it you send something to the web server and what happens is that it updates the data behind the scenes,” one member of the team said. A grid overlay of the area indicates how much activity is going on in that area between trash being found and reported versus picked up and reported, which helps indicate where some of the more ignored areas of a region may be.
If litter is marked but not picked up, then facts about litter, which can be set to reflect local information and statistics, will pop up in the app for the user.
Team Lotus brainstormed an app that could regulate the goals a user had for a day by harnessing all the information other apps were gathering about the user on subjects as diverse as personal fitness or home energy use. By utilizing multiple computer languages, Lotus has the potential to “map” all of the user’s apps and display the user’s efficiency at achieving targeted goals on one central app. Lotus could be used to augment and adjust the other apps to reflect any changes to goals a user might enter.
Pablo Peillard of one-man Team LitterToss created an augmented reality game that turns the simple task of throwing litter into a trash can into a competition in which individuals could score and earn rewards.
The developer originally conceived of a map format game where players could find and throw away real trash, but considered that it might generate an unintended incentive to cheat, with gamers actually creating more litter.
Instead, Peillard believes his app may alter gamers’ overall behavior in a positive way, connecting the earning of points in the augmented reality world to the benefits of properly disposing of litter in the real world.