Mustafa Khan's repositories
Intro-To-Self-Driving-Cars-Nanodegree
I completed the Intro To Self Driving Cars Nanodegree by Udacity on May 16th, 2020. I had the opportunity to sharpen my python skills, apply C++, implement matrices and calculus in code, and touch on computer vision and machine learning all in the context of solving self-driving car problems.
Machine-Learning-Playbook
A collection of useful code, programs, notes and much more on machine learning!
Hand-Gesture-Recognition-Research-UTMIST
The focus of this research project is on the development of a complex hand gesture recognition system that can interface with a website, games and a robot all using the built-in webcam of a computer.
MAT292-Ordinary-Differential-Equations
The focus of MAT292 was on understanding ODEs and learning to model real life situations using them.
Smart-Dance
Web Application that uses computer vision to teach you how to dance! (HTN Finalists)
EcoStream
I was a runner up at WolfHacks 2019. Using arduino and computer vision technology EcoStream optimizes and streamlines waste management.
Pedestrian-Detection-Research
I conducted pedestrian detection research at aUToronto. The focus of this project was improving the existing pedestrian detection system which was based off of Squeezdet and replace it with a YoloV3 model with newly trained weights and fine tuned hyperparameters.
Space-Apps-2019-Submission
My team and I were the finalists from Toronto of NASA and the CSA's 2019 Space Apps Challenge. We developed AstroTech, which employs Edge Segmentation and False Colour Images in order to detect and effectively visualize asteroids in space.
ViT-Implementation
Notes and implementation of a transformer I did alongside Aditya Mehrotra.
ai-notebooks
An implementation of ideas in AI that have stood the test of time
Autonomous-F1-Car
This repository highlights key parts of the developments I made at UofT's Formula Racing Team (UTFR) while helping to create the perception system of their driverless stack.
hackthehammer
I worked on a project that uses machine learning to detect and diagnose a patients risk for skin, breast or colorectal cancer. I received an honourable mention at Hack the Hammer II for this project.
HacktheNorth
I worked on Patcher, a project that uses Machine Learning, Javascript and a Rasberry Pi to alerts cities of potholes and irregularities on public roads at Hack the North 2019.
Lane-And-Road-Detection-Research
I conducted Lane And Road Detection Research for aUToronto. The focus of this research project is to develop the lane detection capabilities of Zeus, the self driving car at aUToronto. As a member of the Perception Team at aUToronto I work to meet the milestone goals set by my team leads and the advising professors including but not limited to Prof. Angela Schoellig and Prof. Tim Barfoot from the University Of Toronto.
MustafaKhan670093.github.io
The AI Notebooks
Public-Notes
A collection of notes on a range of topics