Jack-Development

Jack-Development.github.io

My personal website created using React. The site serves as a professional portfolio for showcasing past projects and skillsets. It also demonstrates how to deploy React-based websites on GitHub pages.

LabVision

This Android application uses Google's ML Kit to identify machinery components at the University of Birmingham's Collaborative Teaching Laboratory. The machine learning models are trained using TensorFlow Lite Model Maker.

pf_localisation

SuperMarioBros-CSharp-Remake

A project that recreates the classic Super Mario Bros game using C# and Visual Studio's Windows Forms Application platform. A modern interpretation of a timeless classic!

AdventOfCode2020

Advent of Code 2020. A collection of problems that were assigned over the month of December that progressively increased in difficulty leading up to the 25th.

calc-react

A JavaScript based calculator application, focused on learning how to use React in web development. Can be run locally or port forwarded to other users.

Calculator

A simple Java calculator that was created without the use of the evaluate function, focusing on how to properly process functions without pre-built libraries

cvzone

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

GDSCGit

GDSCPython

Jack-Development

NetPulse

A Python script and website designed to log and display the internet speeds as the day progresses. Created to be simple to execute and maintain.

ReactSweeper

ReactSweeper is a dynamic and interactive rendition of the timeless Minesweeper game, developed using React.

RedditFetch

RedditFetch is a robust tool for collecting and managing Reddit user data using Python and PRAW. It fetches posts and comments, assigns unique IDs, and structures the data seamlessly for easy access and analysis.

ros-noetic

vinca configuration files for ros-noetic

Text2Sentiment

A flexible PyTorch-based framework for sentiment analysis tasks, easily adaptable to diverse text datasets. This project streamlines and modernizes sentiment analysis methods with PyTorch.