A distributed crowdfunding platform built for humanitarian crises. The platform allows users to create and fund projects using the Ethereum blockchain. The project was built with 3 other students as part of a group coursework and is currently deployed to the Sepolia testnet.

After completing the fast.ai course I trained an image classifier using facial expression data from kaggle. This was then used in conjunction with OpenCV to provide real-time predictions from a live video stream.

I recreated the arcade game Asteroids using pygame and then used Reinforcement Learning to train Neural Networks to play it. The NNs were generated and evolved according to the NEAT algorithm.

A commissioned portfolio project for designer wanting a simple platform to showcase some of their work. I wanted to focus on improving the UX by applying transitions to content changes on the website.

A design taken from the Figma community and implemented into code. This project was used to help me gain a deeper understanding about complex CSS properties like Grid as well as features like state persistance with React hooks.

Using canvas-sketch-cli, the input image is turned into a bitmap of greyscale data which is used to apply an opacity filter to the falling matrix characters. This then leaves an imprint of the image left on the page. The output can be stored as an image or a video.