Genetic and evolutionary algorithm made from scratch using Python to help multiple AIs navigate through obstacles in a swarm manner. Using Pygame to visually display the algorithms along with a GUI made on Tkinter to give the user options.
Making and combining a swarm and flocking algorithm from scratch. Using obstacles to break the AI apart and watch the algorithms regroup them. Visualization made use PyGame.
A framework to help aid a neuropathy college teach and practice diagnosing, and logging patient information with a fully responsive React design to allow the user to take it on the go and view/use it on any device.Front end is React, JavaScript, JSX. Back end is Node.js, Express.js and MongoDB. Fully documented with burn-down charts, diagrams, etc.
Mounting a RPi, motors, camera and an ultrasonic sensor on a 3D printed spider. Using ML and AI to navigate through obstacles. Has a Flask web-server to run different commands.Full documented with burn-down charts, scrums stand-ups, OPPM, etc.
Using JavaScript to recognize expressions, age, gender with live face tracking. Also able to label faces through images.
Reversing a Linked List from scratch using C++. With manual tests and documentation included in repository.
Multiple sorting algorithms made from scratch on C++. Manually coded tests. Documentation includes, benchmark tests, results, explanation of the algorithms used, code breakdown and much more.