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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Artificial Intelligence in Modern Board Games
Ohio Wesleyan University, Summer 2022
Developed an AI opponent for the card game Lost Cities using object oriented principles in Java.
AIParkinScan
MITxSureStart FutureMakers Create-a-Thon Program, Summer 2022
Co-developed AIParkinScan software for Parkinson's diagnosis using audio and image data. Utilized neural networks, spectrograms, and Random Forest algorithm.
Connect 4 AI
Ohio Wesleyan University, Fall 2022
Co-developed an AI opponent for Connect 4 using alpha-beta pruning algorithm.
Artificial Intelligence Opinion Survey
Ohio Wesleyan University, Spring 2023
Designed, fielded, and investigated a survey research of 1000 employees to analyze AI's impact on work efficiency and attitudes. Found AI improved efficiency across industries.
PHP Calendar Application
Washington University in St. Louis, Fall 2024
Developed a feature-rich personal calendar and event management web application using PHP and MySQL, implementing secure user authentication, interactive calendar interface, and comprehensive event management capabilities.
Socket.IO Multi-Room Chat Application
Washington University in St. Louis, Fall 2024
Developed a feature-rich multi-room chat application using Node.js and Socket.IO with password-protected rooms, private messaging, and user moderation capabilities.
Datacenter Cooling Optimization using Deep Reinforcement Learning
Washington University in St. Louis, Fall 2024
Implemented multiple deep reinforcement learning algorithms (DDQN, PPO, SAC) integrated with EnergyPlus simulations to optimize datacenter cooling systems for improved energy efficiency.
Interactive Storybook
Washington University in St. Louis, Fall 2024
Developed an interactive storytelling application using Vue.js, Node.js, and MongoDB with AI-powered content generation, enabling users to create and experience branching narrative stories with dynamically generated text and images.
Multimodal Prediction of Alzheimer’s Disease
Washington University in St. Louis, Fall 2024
Developed a multimodal approach for early detection of Alzheimer’s Disease using the OASIS-1 dataset, combining imaging and clinical data analysis through deep learning and machine learning techniques.