{"id":9716,"date":"2019-09-25T14:20:42","date_gmt":"2019-09-25T18:20:42","guid":{"rendered":"https:\/\/blog.brainstation.io\/?p=9716"},"modified":"2021-01-28T16:58:12","modified_gmt":"2021-01-28T21:58:12","slug":"summer-graduate-showcase","status":"publish","type":"post","link":"https:\/\/brainstation.io\/blog\/summer-graduate-showcase","title":{"rendered":"BrainStation Summer Graduate Showcase"},"content":{"rendered":"\n<p>Last month, BrainStation hosted Demo Day for the Summer 2019 graduates of the Web Development, UX Design, and Data Science Diploma programs. Take a look at some of the work these students were able to accomplish in just 12 weeks.<\/p>\n\n\n\n<h2><strong>High<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/jameskachan\/\" target=\"_blank\" rel=\"noopener noreferrer\">James Kachan,<\/a><span style=\"font-weight: 400;\">&nbsp;<a href=\"https:\/\/brainstation.io\/course\/online\/remote-user-experience-design-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">UX Design Graduate<\/a><\/span><\/p>\n\n\n\n<p><a href=\"https:\/\/www.kachan.design\/h-i-g-h\" target=\"_blank\" rel=\"noopener noreferrer\">High<\/a> is a specialty journal that helps cannabis users record, monitor, and improve their experience with different cannabis strains. The app aids in tracking cannabis usage by strain, method of consumption, and resulting effects. It also provides a space to explore thoughts and experiences through images and writing. Visit James&#8217; <a href=\"http:\/\/www.kachan.design\/\">portfolio<\/a> to keep up with his work.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"576\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/7c9c0260-340e-4003-9894-3551e77eca81_rw_1920-1024x576.png\" alt=\"Screens of UX design project\" class=\"wp-image-9717\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/7c9c0260-340e-4003-9894-3551e77eca81_rw_1920-1024x576.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/7c9c0260-340e-4003-9894-3551e77eca81_rw_1920-300x169.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/7c9c0260-340e-4003-9894-3551e77eca81_rw_1920-768x432.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/7c9c0260-340e-4003-9894-3551e77eca81_rw_1920-960x540.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/7c9c0260-340e-4003-9894-3551e77eca81_rw_1920.png 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2>Subtle<\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.linkedin.com\/in\/kennamgung\/\" target=\"_blank\" rel=\"noopener noreferrer\">Kenneth Namgung,<\/a>&nbsp;<a href=\"https:\/\/brainstation.io\/course\/online\/remote-web-development-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Web Development Graduate<\/a><\/span><\/p>\n\n\n\n<p>Subtle is a machine-learning application that analyzes poses in photographs to provide a summary of repetitive gestures. During a photoshoot, the photographer is able to categorize results based on the type of shot they&#8217;ve captured.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"843\" height=\"718\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Subtle-small.png\" alt=\"visualization of face recognition platform\" class=\"wp-image-9743\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Subtle-small.png 843w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Subtle-small-300x256.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Subtle-small-768x654.png 768w\" sizes=\"(max-width: 843px) 100vw, 843px\" \/><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"841\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.16.40-AM-1024x841.png\" alt=\"photograph recognition platform\" class=\"wp-image-9728\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.16.40-AM-1024x841.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.16.40-AM-300x246.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.16.40-AM-768x631.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.16.40-AM-960x788.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.16.40-AM.png 1778w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2><strong>Manga Face Detector<\/strong><\/h2>\n\n\n\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.linkedin.com\/in\/mengyao-jia\/\" target=\"_blank\" rel=\"noopener noreferrer\">Mengyao Jia<\/a>,&nbsp;<a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a><\/span><\/p>\n\n\n\n<p>Mengyao&#8217;s project employes R-CNN to retrieve anime characters from the Manga109 database. With this raw data, she was able to use machine learning to accurately identify the faces of manga characters. See the project in action below or take a look at her <a href=\"https:\/\/github.com\/Mengyao120\">work on Github<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/manga-detector.mp4\"><\/video><\/figure>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"469\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-24-at-11.33.40-AM-1024x469.png\" alt=\"map of data project process, manga face detection\" class=\"wp-image-9733\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-24-at-11.33.40-AM-1024x469.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-24-at-11.33.40-AM-300x137.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-24-at-11.33.40-AM-768x352.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-24-at-11.33.40-AM-960x440.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-24-at-11.33.40-AM.png 1395w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2><strong>Shape<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/neversleepforever\/\" target=\"_blank\" rel=\"noopener noreferrer\">Joel Lee<\/a>,<span style=\"font-weight: 400;\">&nbsp;<a href=\"https:\/\/brainstation.io\/course\/online\/remote-user-experience-design-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">UX Design Graduate<\/a><\/span><\/p>\n\n\n\n<p><a href=\"https:\/\/neversleepforever.com\/Shape-Capstone-Case-Study\">Shape<\/a> is a mobile platform powered by Artificial Intelligence to help find your best fit when shopping online. By referencing the measurements of brands you&#8217;re already familiar with &#8212; Shape suggests new and unfamiliar products to enhance the consumer&#8217;s shopping experience. Take a look at Joel&#8217;s complete <a href=\"https:\/\/neversleepforever.com\/\">portfolio<\/a>.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"797\" height=\"649\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-2.16.09-PM-1.png\" alt=\"visual of UX design project, women modeling clothes\" class=\"wp-image-9734\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-2.16.09-PM-1.png 797w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-2.16.09-PM-1-300x244.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-2.16.09-PM-1-768x625.png 768w\" sizes=\"(max-width: 797px) 100vw, 797px\" \/><\/figure><\/div>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Joel-Lee.mp4\"><\/video><\/figure>\n\n\n\n<h2><strong>Hire or Not?<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/samjoshva\/?originalSubdomain=ca\" target=\"_blank\" rel=\"noopener noreferrer\">Sam Joshva<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a><\/span><\/p>\n\n\n\n<div class=\"page\" title=\"Page 9\">\n<div class=\"section\">\n<div class=\"layoutArea\">\n<div class=\"column\">\n<p>Sam strives to unravel the mystery of hiring in big companies. Have you ever wondered why you haven&#8217;t gotten a call-back after sending a resume? This program works to predict a candidate&#8217;s success based on the contents of their resume.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"612\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/slide11_black_bg-1024x612.png\" alt=\"graphs demonstrating the prediction model. Compares actual vs predicted comparison\" class=\"wp-image-9755\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/slide11_black_bg-1024x612.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/slide11_black_bg-300x179.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/slide11_black_bg-768x459.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/slide11_black_bg-960x574.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/slide11_black_bg.png 2033w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2><strong>Healthwise<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/mosopeadebowale\/\" target=\"_blank\" rel=\"noopener noreferrer\">Mosope Adebowale<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-user-experience-design-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">UX Design Graduate<\/a><\/span><\/p>\n\n\n\n<p><a href=\"https:\/\/mosopeadebowale.com\/wp-content\/uploads\/2019\/09\/Mosope_Adebowale_Healthwise_CaseStudy.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Healthwise<\/a> is a virtual healthcare platform that provides an easier way to connect patients with doctors in Nigeria, one of the most developed African countries in one of the worst states concerning healthcare. The service provides online consultation through voice, video or chat. See Mosope&#8217;s full <a href=\"https:\/\/mosopeadebowale.com\/\" target=\"_blank\" rel=\"noopener noreferrer\">profile<\/a>.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"815\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/1_-m1JpmKloqIOkUST8-Pj_A-1024x815.jpg\" alt=\"UX frames of UX design project, showing layout of Healthwise health app\" class=\"wp-image-9749\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/1_-m1JpmKloqIOkUST8-Pj_A-1024x815.jpg 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/1_-m1JpmKloqIOkUST8-Pj_A-300x239.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/1_-m1JpmKloqIOkUST8-Pj_A-768x611.jpg 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/1_-m1JpmKloqIOkUST8-Pj_A-960x764.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/1_-m1JpmKloqIOkUST8-Pj_A.jpg 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2><strong>Facial Expression Recognizer<\/strong><\/h2>\n\n\n\n<p><a href=\"http:\/\/www.linkedin.com\/in\/arashtavassoli\">Arash Tavassoli<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a> <\/span><\/p>\n\n\n\n<p>Arash created a deep-learning system to recognize emotional expressions from images of human faces. <a href=\"https:\/\/www.arash-tavassoli.com\/portfolio\">The Facial Expression Recognition<\/a> represents an Image Classification problem within the wider field of Computer Vision.&nbsp;In this project, a machine learning system is developed to recognize emotional expressions (ex. happiness, sadness, or surprise) from images of human faces using a Convolutional Neural Network (CNN) in TensorFlow and OpenCV. Arash has completed an array of other work that you can see on his <a href=\"https:\/\/www.arash-tavassoli.com\/\">full portfolio<\/a>.<\/p>\n\n\n\n<h2><figure><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter size-full wp-image-9829\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-10-08-at-11.28.51-AM.png\" alt=\"\" width=\"941\" height=\"782\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-10-08-at-11.28.51-AM.png 941w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-10-08-at-11.28.51-AM-300x249.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-10-08-at-11.28.51-AM-768x638.png 768w\" sizes=\"(max-width: 941px) 100vw, 941px\" \/><\/figure><\/h2>\n\n\n\n<h2><strong>Streetza<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/omarkhanhr\/\" target=\"_blank\" rel=\"noopener noreferrer\">Omar Khan<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-web-development-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Web Development Graduate<\/a><\/span><\/p>\n\n\n\n<p>&#8220;The year is 2135. It&#8217;s a dystopian, awful future and some time in the past century, pizza was banned.&#8221; Streetza develops a map of pizza parlours along your cycling route to help you find the underground pizza market near you. As an avid biker, Omar Khan wanted to work with the Strava API, which he uses to map his rides. He used React for the front-end client and a Node\/Express server to handle backend requests.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"288\" height=\"587\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-11.47.37-AM.png\" alt=\"\" class=\"wp-image-9725\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-11.47.37-AM.png 288w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-11.47.37-AM-147x300.png 147w\" sizes=\"(max-width: 288px) 100vw, 288px\" \/><\/figure><\/div>\n\n\n\n<h2><strong>Plural.AI<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/wlucy\/\" target=\"_blank\" rel=\"noopener noreferrer\">Lucy Wang<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-user-experience-design-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">UX Design Graduate<\/a><\/span><\/p>\n\n\n\n<p><a href=\"https:\/\/www.lucywang.design\" target=\"_blank\" rel=\"noopener noreferrer\">Plural.AI<\/a> is an interactive news aggregation app that makes it easy for millennials to stay informed on all sides of politically contentious issues while building empathy for different viewpoints. Powered by artificial intelligence, Plural.AI\u2019s robo-journalist pulls the latest news stories from all over the web and sorts them into the app based on its bias detection algorithm, using the data to write neutral stories that are updated constantly in real time.<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/LWAng.mp4\"><\/video><\/figure>\n\n\n\n<h2><strong>BigBrainBeat<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/vaninferrall\/\" target=\"_blank\" rel=\"noopener noreferrer\">Vanin Ferrall<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a><\/span><\/p>\n\n\n\n<div>Vanin trained a convolution neural network to predict the BPM of four second slices of music. From this prediction it would then infer where the beats are within this slice. The result: The BigBrainBeat program takes 4 second slices of music and guesses the musical tempo (beats per minute)&nbsp;<span class=\"il\">in<\/span>&nbsp;the slice. See the work behind the project on <a href=\"https:\/\/github.com\/Ferrallv\/BigBrainBeat\" target=\"_blank\" rel=\"noopener noreferrer\">Github<\/a>&nbsp;or view Vanin&#8217;s full <a href=\"https:\/\/ferrallv.github.io\/site\/\" target=\"_blank\" rel=\"noopener noreferrer\">portfolio<\/a>.<\/div>\n\n\n\n<div><figure><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-9752 size-large\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/downsampled90bpmwav-1-1024x683.png\" alt=\"Graph that demonstrates a program takes 4 second slices of music and guesses the musical tempo\" width=\"1024\" height=\"683\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/downsampled90bpmwav-1-1024x683.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/downsampled90bpmwav-1-300x200.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/downsampled90bpmwav-1-768x512.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/downsampled90bpmwav-1-960x640.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/downsampled90bpmwav-1.png 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<div>\n<h2><strong>Peak<\/strong><\/h2>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/sumitsekhri\/\" target=\"_blank\" rel=\"noopener noreferrer\">Sumit Sekhri<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-user-experience-design-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">UX Design Graduate<\/a><\/span><\/p>\n<p><a href=\"http:\/\/sumitsekhri.com\">Peak<\/a> makes it easy to find the perfect ski mountain. Sumit&#8217;s app will show you the nearest mountains, their rating, recent snowfall, and the runs available.<\/p>\n<\/div>\n\n\n\n<div>&nbsp;<\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"834\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.05.45-AM-1024x834.png\" alt=\"UX design project showing mountain visual from app mock up\" class=\"wp-image-9722\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.05.45-AM-1024x834.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.05.45-AM-300x244.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.05.45-AM-768x625.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.05.45-AM-960x781.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-20-at-10.05.45-AM.png 1344w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2><strong>Cancer Detection<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/rominacarabathampi\/\">Romina Caraba<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a> <\/span><\/p>\n\n\n\n<p>From genetic therapy to detection of various diseases, AI has revolutionized medical research. Recently, health researchers have applied AI to one of the most pressing health concerns of the century: cancer. Breast cancer is the second most common cancer in women. Romina created a cancer detection project that trains an AI model to detect cancer tissue in microscopic images. Early detection of metastatic tissue could potentially support health providers in developing swift diagnosis for patients, possibly saving their lives. See Romina&#8217;s&nbsp;<a href=\"https:\/\/github.com\/rominacarabathampi\/Cancer-detection-capstone\">Github<\/a>&nbsp;for more details on her work.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"399\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/data-in-pictures-1024x399.jpg\" alt=\"\" class=\"wp-image-9793\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/data-in-pictures-1024x399.jpg 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/data-in-pictures-300x117.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/data-in-pictures-768x299.jpg 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/data-in-pictures-960x374.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/data-in-pictures.jpg 1078w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2>Site Assistant<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/dshlass\/\">Dale Shlass<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-web-development-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Web Development Graduate<\/a><\/span><\/p>\n\n\n\n<p><a href=\"https:\/\/site-assistant.herokuapp.com\/\">Site Assistant<\/a> is an application for both Construction Supervisors and Site Engineers. The app allows the user to take field notes and photos for their reports on the construction site. Once reports are created, they are automatically distributed by email to the project clients. Take a look at Dale&#8217;s <a href=\"https:\/\/dshlass.github.io\/\">portfolio<\/a>, or see more of his work on&nbsp;<a href=\"https:\/\/github.com\/dshlass\">Github<\/a>.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"877\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Site-Assistant-e1570037594138-1024x877.jpg\" alt=\"\" class=\"wp-image-9773\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Site-Assistant-e1570037594138-1024x877.jpg 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Site-Assistant-e1570037594138-300x257.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Site-Assistant-e1570037594138-768x657.jpg 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Site-Assistant-e1570037594138-960x822.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Site-Assistant-e1570037594138.jpg 1771w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2><strong>Wardrobe Aid<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/laurabresson\/\" target=\"_blank\" rel=\"noopener noreferrer\">Laura Bresson<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a><\/span><\/p>\n\n\n\n<p>During her time at <a href=\"https:\/\/brainstation.io\/\">BrainStation<\/a>, Laura discovered her love of&nbsp;Machine Learning and Deep Learning. She used a neural network to classify fashion product images that, after training, achieved an accuracy of over 99% in classifying bags, shoes, top wear and bottom wear. Connect with Laura&nbsp;on <a href=\"https:\/\/www.linkedin.com\/in\/laurabresson\/\">LinkedIn<\/a> and see more of her projects on GitHub.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"960\" height=\"540\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/DemoDay_presentation.jpg\" alt=\"\" class=\"wp-image-9766\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/DemoDay_presentation.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/DemoDay_presentation-300x169.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/DemoDay_presentation-768x432.jpg 768w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><\/figure><\/div>\n\n\n\n<h2>&nbsp;<\/h2>\n\n\n\n<h2><strong>Bike Share Use<\/strong><\/h2>\n\n\n\n<p><a href=\"https:\/\/www.linkedin.com\/in\/phil-piltch\/\" target=\"_blank\" rel=\"noopener noreferrer\">Philip Piltch<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a> <\/span><\/p>\n\n\n\n<p>Philip conducted an analysis of Toronto Bike Share, looking at how trip volume changes over time. An Auto-Regression model was used to predict trip volume for three different stations, one with the most number of trips, one with the least number of trips and one with the most round trips. Data was obtained from the City of Toronto Open Data portal. See Phil&#8217;s process on his <a href=\"https:\/\/github.com\/philpiltch\" target=\"_blank\" rel=\"noopener noreferrer\">Github<\/a>.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"353\" height=\"344\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-1.34.18-PM.png\" alt=\"\" class=\"wp-image-9737\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-1.34.18-PM.png 353w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-1.34.18-PM-300x292.png 300w\" sizes=\"(max-width: 353px) 100vw, 353px\" \/><\/figure><\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"363\" height=\"347\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-1.34.25-PM.png\" alt=\"\" class=\"wp-image-9738\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-1.34.25-PM.png 363w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Screen-Shot-2019-09-19-at-1.34.25-PM-300x287.png 300w\" sizes=\"(max-width: 363px) 100vw, 363px\" \/><\/figure><\/div>\n\n\n\n<div>\n<h2><strong>Minding our Madness<\/strong><\/h2>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/nattiechan\/\">Nattie Chan<\/a>,&nbsp;<span style=\"font-weight: 400;\"><a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Graduate<\/a><\/span><\/p>\n<\/div>\n\n\n\n<div>Nattie blurs the lines of traditional statistical analysis and machine learning in her&nbsp;<a href=\"https:\/\/github.com\/nattiechan\/mh_survey_analysis\" target=\"_blank\" rel=\"noopener noreferrer\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/github.com\/nattiechan\/mh_survey_analysis&amp;source=gmail&amp;ust=1570114499417000&amp;usg=AFQjCNGHRrcRrWZ72v1zfLR5sI9H73C0pw\">capstone project<\/a>&nbsp;by using a&nbsp;combination of techniques from both disciplines. She explore employees&#8217; comfort levels in discussing mental health issues at workplaces and proposes strategies to improve support for mental wellness in the tech industry. The visualization below represents answers to the question: &#8220;Briefly describe what you think the industry as a whole and\/or employees could do to improve mental health support for employees.&#8221; Connect with Nattie&nbsp;<a href=\"https:\/\/www.linkedin.com\/in\/nattiechan\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.linkedin.com\/in\/nattiechan\/&amp;source=gmail&amp;ust=1570114499417000&amp;usg=AFQjCNE-yw6ncejfPwN4Qd3iMn7n5_kkWA\">here<\/a>&nbsp;to learn more about her project.<\/div>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"576\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2019\/09\/Presentation-v4-1024x576.jpg\" alt=\"\" class=\"wp-image-9794\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Presentation-v4-1024x576.jpg 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Presentation-v4-300x169.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Presentation-v4-768x432.jpg 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Presentation-v4-960x540.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2019\/09\/Presentation-v4.jpg 1080w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Take a look at the work our Web Development, UX Design, and Data Science students were able to accomplish in just 12 weeks.<\/p>\n","protected":false},"author":7,"featured_media":9744,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[343,533,157,97],"tags":[188,405,187,256,112,100],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.9 - 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