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PRODID:ics.py - http://git.io/lLljaA
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DESCRIPTION:\n\n2:30 – 2:55 pm: Lena Fleischer\, Ellen Moore\, Miranda Hunter\n\nSun Chase: A Machine Learning-Based iOS App Predicting the Beauty of Sunrises and Sunsets\n\nHave you ever woken up early to watch the sunrise\, only to be disappointed by gray skies? Our mission is to create an iOS application which predicts the aesthetic quality of sunrises and sunsets\, encouraging users to get outside when skies are beautiful. The app takes in user location and gathers corresponding weather data which it passes into a machine learning algorithm. We have trained a neural network to recognize weather patterns that are highly correlated with beautiful skies\, using geotagged image data (Flickr API) in tandem with historical weather data (Visual Crossing API). This model\, trained in Python (PyTorch)\, is then packaged into an iOS application built using Swift. The final product\, Sun Chase\, is an intuitive application which displays sunrise and sunset predictions.\n\n \n\n3:00 – 3:15 pm: Liz Seero\n\nRecovery Connection\n\nAccording to the most recent SAMHSA National Survey on Drug Use and Health (NSDUH) detailing Mental Illness and Substance Use Levels in 2021\, 46.3 million people meet the DSM-5 criteria for having a substance use disorder in the past year. The same study found that in that same year\, 94% of people aged 12 or older with a substance use disorder did not receive any treatment. The project aimed to focus on recovery through the lens of Human Computer Interaction utilizing an Agile Design process. Recovery Connection is a life tracking and reflection application that allows for users to record and analyze information about relationships\, activities\, and substances. To test usability\, I conducted two user studies and implemented program changes inspired by the results. Available on both mobile and desktop\, Recovery Connection is a tool that was built to protect integrity\, provide a non-judgmental place to store and revisit private information\, and above all\, provide help to under-served communities.\n\nhttps://today.coloradocollege.edu/events/6251
DTEND:20230406T211500Z
LOCATION:Tutt Science 122 - Lecture Hall (Social Science)
DTSTART:20230406T203000Z
SUMMARY:Math & CS Capstone Presentations: Week 1
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