Employed various data preprocessing techniques, including One Hot Encoding, MinMax scaling, and Z-score normalization, to standardize the columns of a dataset. This data was then used to generate vector embeddings for 12,000 songs using distance formulas such as Cosine, Euclidean, and Manhattan. To make this resource accessible, I developed a Flask API server for fetching song recommendations. Additionally, I created an aesthetically pleasing user interface using Next.js and Tailwind CSS, providing users with a visual representation of songs and their recommended counterparts.

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Classroom built for programming teachers. Allows teachers to host classrooms and publish coding assignments for their students. Gives teachers a leetcode-esque platform for them to publish their own programming problems, create test cases, and manage assignments. Compiles python into WASM to be run in browsers.

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Built a python script that scrapes reddit for a popular post, then edits together a Youtube Short / TikTok reading the post using text to speech, with minecraft parkour playing in the background. Generated ~50k views and 1.5k likes across all platforms.

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Identifies movement within camera footage using image subtraction techniques, then submitting frames with movement to the image classification model. If it is determined that there was an animal inside the frame, it sends a POST request to the FLASK server to store the image. Finally the database can be viewed through the NextJS frontend.

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This TensorFlow machine learning project focuses on detecting near-earth objects (NEOs) using data from NASA's WISE database. The goal is to develop a deep learning model that can identify and classify NEOs based on their infrared signatures. By leveraging TensorFlow's capabilities, this project contributes to planetary defense efforts by enhancing our understanding and monitoring of potentially hazardous asteroids near Earth.

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Processes a valorant (VCT) game into JSON data for the game to be analyzed later. Will be using NextJS and Flask to host this data on a public frontend for users to look into.

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Fullstack blog built around the Nuxt 3 Framework and Tailwind. It features User Auth, Likes, Read/Post, and Commenting features. WYSIWYG editor designed with TipTap featuring image & video upload, font settings, text formatting -- similar Google Docs. Users are also able to filter for posts by tags and topics custom chosen by the author of the post.

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The redesigned homepage of UW Batman's Kitchen incorporates cutting-edge features to deliver an enhanced user experience. With reactive design, the website seamlessly adapts to various devices, ensuring a consistent and visually pleasing interface for both desktop and mobile users.

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Express.js and Socket.IO-powered free-for-all chess app enabling multiplayer gameplay with real-time communication and simultaneous matches. Provides an interactive platform for chess enthusiasts to compete against multiple opponents in a dynamic and engaging environment.

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