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desc: "Scraped 10 more years of relevant nfl salary cap, performance, draft, and advanced analytical data and stored them into MongoDB. Created basic UIs for searching based on relevant player data.",
accomplishments: ["Competed in 5+ Kaggle competitions with accuracy rates of upwards of 90%."],
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link: "https://www.theinboxpilot.com/",
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name: "InboxPilot",
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desc: "LLM-powered inbox automation application",
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desc: "Over the year, the team was able to successfully develop a fully functional email assistant which allows users to create natural language rules, draft replies using personal context, semantically search an inbox, and handle email using voice. InboxPilot onboarded 15 beta users, processed over 4000 emails, and made over a 100 automatic drafts.",
desc: "Computer vision algorithms for autonomous urban navigation",
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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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