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This is an autonomous robot made using an Arduino that navigates using ultrasonic sensor and neural network. It drives forward until it detects an object in front of it. Then it looks to the left and right recording the distance of the closest objects. It then feeds these distances into its neural network and determines which direction to turn, left or right.

This is a project created for my Artificial Intelligence course in which we trained and implemented a real-time computer vision system for gesture recognition, to control a robotic system through hand gestures. We trained three models to work in a pipeline, first to locate hands in a video, then locate 21 (x,y) coordinates representing key points in the hand, then using these coordinates to identify hand gestures.

I built this portfolio website on my own and am very proud of how it has come along. This was a challenge because I had not done any courses on HTML, CSS or JavaScript and self learned what I needed to for this.

About Me

Hello! I'm Greg

I am a Senior Computer Science major at Southern New Hampshire University
I am pursuing a concentration in machine learning and a minor in Robotics
I aspire to work in the robotics field and plan to pursue a masters degree.
I have completed an electrical engineering internship at Elbit
Systems of America and two software engineering internhips at Red Hat. Through
these I have gained experience in hardware development, embedded
software development and quality assurance. I have experience with Kubernetes and Docker.
I am proficient with Python, C, and C++.

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