![]() Right now, it recognizes only 15 signs - such as the one for “I love you.” But it’s about 98 percent accurate for those signs when viewed by a camera under ideal conditions, Liam says. His system then reports back the equivalent English text. Liam’s translator works by having a computer program match the finger and hand motions of ASL against a list of the letters, words or phrases they represent. Liam Sweeney, 18, designed a program that translates American Sign Language into English. That encounter prompted him to think about how to create a program that can translate American Sign Language, or ASL, into English on the spot. Liam just graduated from Centaurus High School in Lafayette, Colo. But “he had a very complex problem,” recalls this 18-year-old. While working at his part-time job in a hardware store, Liam Sweeney met a deaf customer with a question. Jeesung’s new software can identify the dangerous driver seen in this video and then send warning alerts to the cars in its general vicinity. He aims to continue tweaking and testing the system in Jeju and eventually go global. Jeesung hopes a system like his can limit these. And his algorithm can be used with existing cameras.Ĭar accidents are a leading cause of death and injuries. But the system should prove quick and reliable, Jeesung says. That would require permission from South Korea’s government, he notes. To do so, Jeesung wants to use GPS to pinpoint the locations of phone users. It also sends out warnings less than two seconds after spotting risky driving. It correctly identified dangerous driving some 80 percent of the time, the teen now reports. He then tested his system using video it hadn’t seen. Jeesung trained his algorithm with publicly available videos showing car accidents. It monitors streaming video in real time. His AI-based program instead aims to head off accidents. This footage will usually be scanned after an accident occurs to assess what happened, Jeesung notes. Live video surveys many major roads around the globe, often for traffic reports. His computer program then sends a message to cellphones in the area. Jeesung’s algorithm scans video feeds for cars traveling at dangerous speeds or suddenly switching lanes. Jeesung Lee, 17, created a computer program that can not only detect dangerous driving but also alert drivers nearby. That last group is an educational foundation in Saudi Arabia that cultivates creativity. She also won a Mawhiba Universal Enrichment Program award and $200 from the King Abdulaziz & his Companions Foundation for Giftedness and Creativity. They’re grateful that there could soon be a way to diagnose skin conditions in the blink of an eye.ĭerma X earned Mesk fourth place in the systems-software division at ISEF and a $500 prize. Mesk has shown her app to many people, including a doctor who “wanted to use it more and more.” Everyone has been shocked, she says. She adds that it’s also “really fast.” The app spits out an answer in seconds. “It’s really easy, simple, not costly,” she notes. Derma X now correctly diagnoses skin conditions 83 percent of the time. ![]() Training the software required using more than 50,000 publicly available photos. Besides eczema, these also include psoriasis and acne. The 16-year-old at Talae’ Al-Amal Secondary School in Nablus trained her novel software to quickly determine skin conditions based on photos.Ĭalled Derma X, her smartphone app can identify 18 skin conditions. A chronic disease, it can cause itchy, scaly rashes.įrustrated by the long delay in her brother’s diagnosis, Mesk decided to use artificial intelligence, or AI, to speed up the process. ![]() ![]() Those dry patches on his arms turned out to be eczema. It took nearly six months for her brother to see a doctor. Wait times for medical appointments can be long in Palestine, where Mesk lives. This teen competition is a program of Society for Science (which also publishes this magazine). All were finalists at the Regeneron International Science and Engineering Fair (ISEF). AbdalsalamĪ rising 11th grader, Mesk was among several high-school students who unveiled software solutions to vexing problems in May. Bottom: Derma X correctly identifies psoriasis. Top: Mesk Abdalsalam, 16, developed a smartphone app that uses photos to help diagnose skin conditions. ![]()
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