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Check it outFirst prize winner of the 2022 Ross FinTech Challenge and finalist of Michigan Business Challenge & EMU Executive Challenge. Relic’s mission is to transform the college sports fan experience through Web3 technologies, while serving as a vehicle for student-athletes to monetize their Name, Image, and Likeness (NIL).
See the storyDeveloped a machine learning algorithm to categorize posts by tags based on its contents on a platform called Piazza.
Created a seam carving algorithm that can modify the aspect ratio of images by eliminating 'seams' passing through the least significant pixels. The algorithm preserves the integrity of the images without causing distortion or cropping.
Developed and executed a web scraping project utilizing Python and BeautifulSoup to calculate the total value of Name, Image, and Likeness (NIL) at UofM. The collected data was formatted and presented in an Excel sheet for easy analysis.
Created an assembler for a proprietary 32-bit assembly language based on ARM by incorporating pipelines, cache, and a linker (symbol & relocation tables)