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trip\u2019d
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Samantha Lee, UX Design<\/a> For those adventurous travelers who prefer spontaneity to itineraries, trip\u2019d is a travel app that caters to last-minute travelers who prefer to plan on the fly. Lee\u2019s research showed that most millennials prioritize flexibility as their top travel priority and only begin researching trips a few weeks before departure. With those impulsive explorers in mind, trip\u2019d presents users with a mood quiz discovery tool to determine the most appealing area attractions, before offering personalized suggestions with all the information a tourist would need. To explore trip\u2019d further, visit our Hiring page<\/a>. Allan Luu, Data Science<\/a> Perhaps no one knows more about your daily routine than your smartphone. That\u2019s why Luu developed a web app that uses machine learning and smartphone data to classify human activity. By leveraging the sensors in your phone \u2014 measuring changes in environment, linear acceleration, and angular velocity \u2013 Luu\u2019s app can easily predict and classify how a user moves while holding their phone. The app could have many applications, from detecting falls among the elderly, to monitoring workplace activity, or more accurately monitoring user workouts. Watch Luu demo the app on our Hiring page<\/a>. Patrick Setterlund, Web Development<\/a> Paws Provider connects emotional support animals with people who could use a furry friend but otherwise wouldn\u2019t have access. Since few people qualify for a service animal of their own, Paws Provider allows users to connect with dog owners to schedule time to meet with their animals, ask questions about animal care, attend events, or learn more about the benefits of emotional support dogs. See more of Setterlund\u2019s project on our Hiring page<\/a>. Kayla Bonneteau, Web Development<\/a> Sushi Go! Online is a web-based adaptation of the beloved pick-and-pass tabletop card game. Just like in the popular board game version, Bonneteau\u2019s brightly colored adaptation tasks players with gathering sushi dishes as they whiz by on a conveyor belt to create the best possible combination of tastes. Have a look at Bonneteau\u2019s culinary card game in action here<\/a>. Stephen Behunin, Data Science<\/a> The problem with New York City\u2019s 311 services is not the volume of requests, but the volatility. Although the overall number of requests is reasonable for a city of New York\u2019s size, there are days when the high number of service requests overwhelms the system. Behunin\u2019s project aimed to boost the predictive powers of the system by better understanding the factors that caused those spikes in service requests, using SARIMA \u2014 or Seasonal Autoregressive Integrated Moving Average \u2014 to institute year-long forecasting and Recurrent Neural Networks (RNNs) for month-long forecasts. The result? Behunin\u2019s models were far more accurate at predicting service request volume than the baseline forecasts. Watch Behunin explain some of the findings here<\/a>. Stuart Murray, UX Design<\/a> With cannabis legalization gaining momentum around the world, Murray created an iOS journaling app to help users keep track of their experiences with different types of cannabis \u2014 positive or negative \u2014 and better understand how different products might make them feel. Cannabyss also allows users to share reviews, learn more about the unique effects and potency levels of different cannabis strains, and ultimately keep a searchable collection of every product they\u2019ve ever tried. Check out more mockups of Cannabyss on our Hiring page<\/a>. Zachary McLean, UX Design<\/a> Community is a healthcare app that empowers doctors and other healthcare professionals to communicate and collaborate across disciplines. The goal? To improve patient care and tackle the problem of interoperability in healthcare. Community allows healthcare providers to keep a list of their clients with individual patient pages. Each page features a list of a patient\u2019s recent healthcare activity and allows providers to smoothly swap messages about their mutual patients, share ideas on their care, and view updates on the status of any ongoing medical issues. Explore more Community mockups on our Hiring page<\/a>. Adele DuBay, Data Science<\/a> As the population grows, so does the pressure on our electrical grid. DuBay\u2019s project used time series machine learning and data from the Electric Reliability Council of Texas to analyze and forecast energy demand over time. DuBay\u2019s project could help forecast future energy demand, balance the power grid, and ultimately prevent blackouts. See DuBay demo her project on our Hiring page<\/a>. Alexa Muir, UX Design<\/a> Sleep Well is an iOS app that combines sleep-tracking software, stress-relieving content, and sleep analytics to ultimately help users improve the quality and quantity of their sleep. Muir\u2019s app guides users through a meditation library packed with soothing content, soundscapes, and stories, while also allowing them to monitor their sleep progress by generating monthly reports and feedback on their new bedtime rituals. To learn more about how Sleep Well helps users rest easy, check out Muir\u2019s showcase on our Hiring page<\/a>. <\/p>\n\n\n\n
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<\/figure>\n\n\n\nHuman Movement Classification
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<\/figure>\n\n\n\nPaws Provider
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<\/figure>\n\n\n\nSushi Go! Online
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<\/figure>\n\n\n\nNYC 311 Timeseries Analysis
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<\/figure>\n\n\n\nCannabyss
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<\/figure>\n\n\n\nCommunity
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<\/figure>\n\n\n\n\u200b\u200bForecasting Energy Demand
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<\/figure>\n\n\n\nSleep Well
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