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jtranquilli's Projects

backendchesseng icon backendchesseng

A chess engine which maps and calculates all legal moves given a board. Contains classes for Board, Tile, and each Piece on the board.

copr icon copr

RPM build system - upstream for https://copr.fedorainfracloud.org/

covidata.sh icon covidata.sh

A bash script which retrieves and compares provincial COVID statistics from the Canadian government in the form of .csv files

cpp-httplib icon cpp-httplib

A C++ header-only HTTP/HTTPS server and client library

digitcounter icon digitcounter

A computer vision project using Intel's OpenCV and Google's MediaPipe. The program interprets hand signals from a live stream and responds in real time the number being shown on the user's fingers. This program requires access to a webcam and thus likely needs to be run from terminal to avoid permissions issues.

gs-quant icon gs-quant

Python toolkit for quantitative finance

llvm-project icon llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

photolab icon photolab

Photolab is a python package for feature engineering in computer vision

pyautogui icon pyautogui

A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.

signalreader icon signalreader

This is a computer vision project using Intel's OpenCV and Google's MediaPipe.This program reads hand signals from a live feed as either thumbs up, thumbs down, or undefined. This project likely needs to be run from terminal as it requires access to a webcam which your IDE may not have permission to use.

volumetracker icon volumetracker

A script that checks for abnormal trading volume for approximately 3000 publicly traded companies and uses Twilio to send SMS notifications based on its findings.

volumetrackeremailnotif icon volumetrackeremailnotif

This script checks ~3000 tickers for abnormal trading volume, characterized as a present trading volume of more than 4 times the average trading volume of the last 5 days. All companies experiencing abnormal trading volume are then added to a list which is sent to the user via email.

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