@@ -17,11 +17,10 @@ export const projectItems: Array<ProjectItem> = [
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{
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name : "Kaggle" ,
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desc : "Learning through Participation in Kaggle Competitions." ,
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- pm : "Neil Sahai" ,
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- status : "closed " ,
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+ pm : "OPEN / Prev. Neil Sahai" ,
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+ status : "open " ,
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proficiency : "Beginner" ,
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domain : [ "General" ] ,
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- duration : "Fall 2024 + Spring 2025" ,
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memberInfo : "https://docs.google.com/spreadsheets/d/1iXUDsyLzoB7aPhIs960i16HsB-XWROdO_fJlzmVkhUA/edit?usp=sharing" ,
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accomplishments : [ "Competed in 5+ Kaggle competitions with accuracy rates of upwards of 90%." ] ,
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} ,
@@ -51,8 +50,8 @@ export const projectItems: Array<ProjectItem> = [
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link : "https://www.trine.edu/innovation-one/aimm/winners.aspx" ,
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name : "AIMM ICC" ,
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desc : "Creating an unmanned autonomous boat that can complete complex tasks" ,
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- pm : "Nicholas Wade" ,
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- status : "closed " ,
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+ pm : "OPEN / Prev. Nicholas Wade" ,
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+ status : "open " ,
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proficiency : "Intermediate" ,
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domain : [ "Process Control" , "Computer Vision" ] ,
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memberInfo : "https://docs.google.com/spreadsheets/d/1DwIMw7RrkFmX49ZkZCin6s6-WuL4-Qbt1CeX-CzUKes/edit?usp=sharing" ,
@@ -71,30 +70,28 @@ export const projectItems: Array<ProjectItem> = [
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{
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name : "SWAT: Students Winning at Algo Trading" ,
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desc : "Algorithmic Trading Competitive Team" ,
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- pm : "Yohaan Chokhany" ,
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- status : "closed " ,
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+ pm : "OPEN / Prev. Yohaan Chokhany" ,
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+ status : "open " ,
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proficiency : "Intermediate" ,
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domain : [ "Finance" ] ,
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memberInfo : "https://docs.google.com/spreadsheets/d/1ancxMFSFhrRXvLnslGnoTBjTdfD3rlVcdPBTEmG3vj0/edit?usp=sharing" ,
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} ,
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{
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- name : "Drone Vision" ,
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+ name : "Robot Vision" ,
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desc : "The team successfully generated a synthetic dataset of images taken from in the middle of urban scenes. They used Meta Segment Anything (SAM) model to generate masks, out of which they selected relevant classes, and used the MMSegmentation library to train a new semantic segmentation model." ,
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pm : "Manav Gagani" ,
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- status : "closed " ,
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+ status : "open " ,
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proficiency : "Intermediate" ,
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domain : [ "Computer Vision" , "Segmentation" , "Object Detection" ] ,
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- duration : "Fall 2024 + Spring 2025" ,
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memberInfo : "https://docs.google.com/spreadsheets/d/1ebeAdjMo2XRojZZ19xloosyoWY1_6ggUHwn-tXB_ilY/edit?usp=sharing" ,
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} ,
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{
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name : "TE AI Cup 2024-2025" ,
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desc : "Developed a novel industrial solution backed by a state-of-the-art learning method in academic research." ,
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- pm : "Daniel Park" ,
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- status : "closed " ,
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+ pm : "OPEN / Prev. Daniel Park" ,
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+ status : "open " ,
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proficiency : "Advanced" ,
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domain : [ "Process Control" , "Computer Vision" ] ,
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- duration : "Fall 2024 + Spring 2025" ,
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advisor : "Sonny Osunkwo" ,
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memberInfo : "https://docs.google.com/spreadsheets/d/1im0FjZLBWWyVQxM2imX2Ngd8s8qV9HTOeXQrJR1ZBmo/edit?usp=sharing" ,
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accomplishments : [ "Nationally 2nd" , "Globally 3rd" , "Patent" , "Academic Paper" ] ,
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