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28:["$","$L10","modular-desktop-wind-tunnel-detail",{"children":["$","article",null,{"id":"modular-desktop-wind-tunnel-details","className":"glass h-full scroll-mt-32 rounded-[28px] p-6","children":[["$","p",null,{"className":"text-sm font-bold uppercase tracking-[0.16em] text-plasma","children":"Project note"}],["$","h3",null,{"className":"mt-3 font-display text-xl font-bold text-white","children":"Modular Desktop Wind Tunnel"}],[],["$","p",null,{"className":"mt-4 text-sm leading-7 text-silver","children":"Designed, analyzed, and fabricated a modular desktop wind tunnel with nozzle, diffuser, and test-section geometry refined through 80+ hours of SolidWorks CAD."}],["$","p",null,{"className":"mt-4 text-sm leading-7 text-silver","children":[["$","span",null,{"className":"font-bold text-white","children":"Takeaway:"}]," ","Built a small test platform for lift experiments and flow visualization based on aerodynamic literature."]}],null]}]}]
29:["$","$L10","aircraft-engine-classification-detail",{"children":["$","article",null,{"id":"aircraft-engine-classification-details","className":"glass h-full scroll-mt-32 rounded-[28px] p-6","children":[["$","p",null,{"className":"text-sm font-bold uppercase tracking-[0.16em] text-plasma","children":"Project note"}],["$","h3",null,{"className":"mt-3 font-display text-xl font-bold text-white","children":"Aircraft Engine Classification via Custom Machine Learning in MATLAB"}],[["$","figure","/images/projects/matlab-kmeans-cluster-visualization.png",{"className":"mt-5 overflow-hidden rounded-[22px] border border-white/10 bg-black/35","children":[["$","div",null,{"className":"relative aspect-[21/9]","children":["$","$L7",null,{"src":"/images/projects/matlab-kmeans-cluster-visualization.png","alt":"MATLAB 3D K-means cluster visualization for aircraft engine classification","fill":true,"sizes":"(max-width: 1024px) 100vw, 33vw","className":"object-contain p-3 object-center"}]}],["$","figcaption",null,{"className":"border-t border-white/10 bg-black/30 px-4 py-3 text-xs leading-5 text-silver","children":"K-means cluster visualization using aircraft engine performance data, including max speed, rate of climb, and gross weight."}]]}],["$","figure","/images/projects/matlab-engine-classification-confusion-matrix.png",{"className":"mt-5 overflow-hidden rounded-[22px] border border-white/10 bg-black/35","children":[["$","div",null,{"className":"relative aspect-[4/3]","children":["$","$L7",null,{"src":"/images/projects/matlab-engine-classification-confusion-matrix.png","alt":"MATLAB command window showing aircraft engine classification confusion matrix and training accuracy","fill":true,"sizes":"(max-width: 1024px) 100vw, 33vw","className":"object-contain p-3 object-center"}]}],["$","figcaption",null,{"className":"border-t border-white/10 bg-black/30 px-4 py-3 text-xs leading-5 text-silver","children":"Training confusion matrix from the MATLAB classifier, with an 86.16% training accuracy across jet, piston, and propjet classes."}]]}]],["$","p",null,{"className":"mt-4 text-sm leading-7 text-silver","children":"Built a MATLAB pipeline to clean aircraft performance data, engineer features, normalize weighted metrics, cluster engines with K-means, and classify aircraft engine types."}],["$","p",null,{"className":"mt-4 text-sm leading-7 text-silver","children":[["$","span",null,{"className":"font-bold text-white","children":"Takeaway:"}]," ","Created a working classification workflow and evaluated it with a training confusion matrix that reached 86.16% accuracy."]}],null]}]}]
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