A web application leveraging various Python, Math, and GenAI tools, such as leveraging Langchain with the Google Gemini API for sentiment analysis and financial text summarization, Monte Carlo simulations, and Markowitz Efficient Frontier for efficient portfolio allocation and risk management. Users can peroform fundamental research on varioius public companies by searching the company's Ticker symbol. Users can also construct an efficient portfolio by entering the Ticker symbols they would like in their portfolio. The selected portfolio maximizes the Sharpe ratio for the highest returns by running simulations and returning the portfolio allocation with the highest Sharpe ratio.

This web application combines the power of client-side Javascript and Python (using PyScript) to allow users to perform various financial investment tasks. The application allows users to create a portfolio of stocks using the Node.js Yahoo Finance API. Once stock tickers are added, users can calculate the CAPM (Capital Asset Pricing Model) using Python for each stock to measure the expected return of each stock. Users can visualize company data using various profitability metrics and download all the selected company's financial data including stock prices going all the way back to 2005. The application allows users to create a Logistic Regression model that predicts or recommends whether the user should buy the stock or not using Open, High, Low, Volume, and Adjusted Closing price from the previous day. Using Monte Carlo Simulations, Markowitz's Efficient Frontier Theory, and Mathematical Optimization, users can optimize their current portfolio to maximize the Sharpe Ratio or find the portfolio composition with the lowest volatility given the companies added to that portfolio.

A Python-based tool that automates the process of gathering financial news for specific stock tickers, performing web scraping to extract article content, and utilizing a Google Gemini LLM via Langchain to analyze collective news sentiment. This project demonstrates the integration of web scraping, data processing (Pandas, Numpy), and AI for generating potential investment insights from real-time news data.

A node.js application for basic, quick financial calculations and document creation. This Full stack application allows users to do financial calculations such as loan amortization, return on investment, compound interest and CAGR. The application also allows users to retrieve a public company's financial profile along with analyst recommendation on whether the stock is a buy or sell. Finally the application allows users to create and download PDF documents of their Income statement and personal monthly budget.

A two player arcade style game featuring some of Marvel's characters. Player controls can be viewed within the game which features battles between selected characters.

A React gesture controlled art image gallery viewer. This application is contolled by making certain hand gestures toward the user's webcam; the user never has to you the trackpad or a mouse to scroll or browse through images in the gallery. Images of the art in this application are provided by The Chicago Art Institute API. This application uses TensorFlow's Handpose computer vision machine learning model to estimate the position and gestures made by the user to navigate the application.