Projects

Netflix Film Analysis

Old Dominion University, Spring 2024

Video Demo:

Course Companion

Old Dominion University, Fall 2023 & Spring 2024

Worked with a team of eight on our senior year capstone project to develop Course Companion, a tool designed to help university instructors improve the accessibility and quality of their course materials. This software allows educators to upload course materials for in-depth analysis, providing valuable insights and suggestions for enhancement.

Key Features:

• Navigable GUI for easy use
• Document analysis for course materials in various file types
• Accessibility suggestions for educators
• Detailed report generation for easy review and reference
• View and save previously generated reports

Technologies Used:

Python, PyQt5, Pandoc

Walkability and Well-Being - An Urban Analysis

Old Dominion University, Fall 2023

Video Demo:

Collaborated with classmates on a project exploring the intricate relationship between community walkability and various facets of well-being in urban environments, focusing on New York City neighborhoods.

Objective:

Investigate correlations between walkability and well-being indicators, such as concentrated poverty rates and student obesity rates.

Methodology:

Collected data on New York City walkability, poverty, and obesity. Utilized Python, Pandas, Matplotlib, and Seaborn for preprocessing and visualization. Merged datasets for comprehensive analysis.

Results:

No significant correlation between walkability and poverty. Identified higher obesity rates in less walkable New York City neighborhoods.

CPU Scheduling & Process Synchronization

Old Dominion University, Fall 2023

Video Demo:

Collaborated with a classmate on a comprehensive project addressing CPU scheduling algorithms and process synchronization.

CPU Scheduling Problem:

• Developed a CPU scheduler simulation with FIFO, SJF, and Priority algorithms.
• Utilized C++ to handle 541 simulated processes, addressing arrival time, CPU burst length, and priority.
• The problem incorporates well-documented code and sample input data files and produces detailed statistics for each scheduling algorithm.

Process Synchronization Problem:

• Classmate led the development of the Producer-Consumer problem using Pthreads, with comprehensive testing and performance measurement.
• The solution is implemented in C++ and covers various scenarios, providing insights into overall turnaround time.

This project allowed us to delve into the intricacies of operating systems, applying theoretical concepts to practical problem-solving.