Omar Shaban

FitMe Fullstack Application

Designed a full-stack application that allows users to easily log fitness data and generates an optimal diet plan based on their goals. Being a fitness enthusiast, I was inspired to make this application to enhance my workout routine and improve my overall health.

Some features of this project include:

• RESTful back-end server allowing user fitness data to be stored persistently in a MongoDB cloud database
• Reactive application design using Angular 8
• Fully functional user authentication using JWT
• Live updating graphs and charts using ngx-charts and mat-table
• Automated test coverages using jest.js

Technologies used: Angular 8, Node.js, Express.js, MongoDB

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Autonomous Drone-Based 3D Scanner

Designed a drone-based 3D scanner, that autonomously scans structures and renders a 3D point cloud. The system implements a multi-agent reinforcement learning algorithm, which makes the drones prioritize low-data areas, and ultimately leads to a denser point cloud.

Technologies used: Python, OpenCV, ROSpy

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Autonomous Maze Solving Robot

As part of the Brown University Robotics Competition, our team designed an autonomous robot that navigates through an unknown maze and locates the center.

Technologies used: C++, Arduino