<Projects/>
Football position prediction model
Using large FIFA football datasets of past plays/positions to predict the most optimal next state for football attacking positions to maximize scoring chances.
Automated DMZ KPA Patrol Tracking Report
Currently in progress of building an automation pipeline for generating reports on North Korean soldiers at the South Korean DMZ. During my time in the army, most of our time was spent watching tedious video footage of North Korean soldiers. This inspired me to develop a machine learning computer vision-based pipeline to automate these reports.
ChatYJT
ChatYJT is a RAG pipeline that I developed using my Instagram DMs so the chatbot would mimic my casual speech patterns.
Ride scheduler Slack agent
Ride scheduler for Emmaus Road Ministry early morning prayer
Arrows 🔗
Arrows is a product developed in the one-day Cornell Claude Builders Club hackathon. Arrows leverages Claude computer vision to analyze images of users' screenshots with their persons of interest, and uses NLP analysis to provide users with accurate insight on their compatibility with their persons of interest.
Course.ly 🔗
Course.ly is a comprehensive mobile application that scrapes data from across multiple Cornell University course review sources including CUReview, RateMyProf, and the university registrar.
Sudoku puzzle generator 🔗
Implemented a sudoku puzzle generator using backtracking algorithms in OCaml, a functional programming language. Collaborated with a team of 4 and conducted weekly check-ins with project managers