Curated for university admissions and employment opportunities
This website showcases a selection of my software projects hosted on GitHub. It is designed specifically for university application reviewers to quickly understand my interests, technical strengths, and project impact.
GitHub repositories can be dense and technical. This site presents highlights and context so that admissions readers can quickly assess the scope, rigor, and outcomes of my work.
A quick visual tour of a few representative projects. Click any image to view it larger.
Based on user-given passenger class, passenger age and passenger gender, and using real Titanic passenger data and Machine Learning, this program will tell you if you are likely to survive.
Tech: Python, Machine Learning, scikit-learn, pandas, numpy
A Tkinter handwritten digit recognition app with a custom ML engine. Draw digits for real-time prediction with confidence, give thumbs up/down feedback to improve accuracy, undo, debug tools, array visualization, pattern management, duplicate removal, pattern count display, error-handled pattern storage, autocentering and storage optimization.
Focus: GUI, user experience, performance/accuracy
A Python project that converts user-input phrases into Morse code and flashes them using an Arduino board. Supports repeated playback and handles letters, numbers, and symbols. Uses pyfirmata2 for Arduino communication.
Highlights: Hardware and Software