Showing 1 project using Node.js
Own your investment data, then put it to work. Pyx pulls everything an investor holds into one encrypted file on their Mac, then hands them the tools to actually use it: a real chart workspace, tags, markdown notes, transaction analysis, honest returns, and any AI they choose. All of it reads the database. None of it reads anyone else’s.
An AI research assistant that answers scientific questions using 26 million peer-reviewed articles, with every answer linked to its sources. Founded during my junior year at Emory. The retrieval method was granted a patent, and the product was named Product of the Day on Product Hunt.
An analysis of 1.88 million U.S. wildfire records from 1992 to 2015, examining where large fires cluster, when they occur, and how long they take to contain. Gradient-boosted trees produced the most accurate containment-time predictions.
A study of fairness in automated loan approval, training three models on 890,000 Lending Club applications. Removing bias-related features had minimal effect on accuracy, suggesting fairer lending decisions are achievable without a meaningful tradeoff in performance.
A task marketplace for Emory University students to post jobs and hire peers. Developed with a small team using sprint planning, with a Flask REST API, a PostgreSQL database, and deployment on Heroku.
A 2D game in which enemies calculate intercept trajectories rather than following the player directly, so difficulty scales with skill. Built independently in Python with Pygame, including custom collision detection and a particle system.