Projects
My projects, in semi-chronological order.
Taskily Website
Keeping track of all the things you have to do can be hard. I created a Website (vaguely based off my CLI) to help me plan out my day. Check it out to see all the features. And don't worry, you don't have to sign in!
Learn more →Taskily CLI
Keeping track of all the things you have to do can be hard. I created a CLI to help me plan out my day. It automatically caches daily plans, so the plans are safe (until you delete your .cache folder). Currently on v0.1.0
Learn more →Fast Git Commands (FIT)
Git can be hard. Remove the unnecessary commands using FIT. Push, Pull, Clone, and Manage Branches with ease. Store your preferences to avoid repetition. Override with manual commands any time you want. Currently on v0.1.0
Learn more →USACO Guide
The USACO Guide is a free collection of curated, high-quality resources for the USA Computing Olympiad. I am a Content Author for the USACO Guide, and have developed modules to teach students Algorithms like DFS, BFS, Dijkstra, Dynamic Programming, 2 Pointer Algorithms, Prim's and Kruskal's, and more. I create solutions for USACO, CodeForces, AtCoder, and CSES problems.
Learn more →CerealCodes
Head of Logistics at CerealCodes. Tired of waiting for USACO Monthlies to come out? CerealCodes provides monthly contests by USACO Competitors via a CodeForces-esq format. Check it out!
Learn more →TEN Programming Language
A Stack-Based programming language with a golf-like syntax. Meant for extreme compactability and utter illegibility. Made in Python. Supports basic Arithmetic, boolean logic, functions, loops, and conditionals.
Learn more →Chest X-ray Abnormalities Detection
Automatically localize and classify thoracic abnormalities from chest radiographs. I used Pytorch TorchVision and Object Detection to train a Faster-RCNN on 15,000 Chest X-ray Scans. I trained the model to classify 14 distinct chest abnormalities including Aortic Enlargment, Cardiomelagy, and Pulminary Fibrosis.
Learn more →Image Regression for Pet Cuteness
I analyzed raw images of various pets to determine a "Pawpularity" score for each image, based on a precomputed score computed by clicks per image. I competed in the Kaggle Competition based on this data.
Ratio of Protons to Neutrons in a Stable Atom
This was my first Machine Learning Project. I used basic Gradient Descent to find a Quadratic of Best Fit. I compared my results to the standardized model, and observed a significant improvement in it's accuracy. In the image above, the left is my model, and the right is the standardized model.
Learn more →The Quest For Knowledge
Not really a project, just a list of a bunch of Courses I took online because I wanted to learn more
Learn more →The Constructability of the Regular Heptadecagon
A relationship between Fermat Primes and Geometry. I wrote an analysis paper on another professor's paper on the Heptadecagon. I focused on the math behind it's constructability, and it's relations to Fermat Primes
Learn more →