Machine Learning

A research project analyzing gender bias in the COMET-ATOMIC20 commonsense knowledge model using Python. Explores differences in generated inferences based on gendered inputs using sentiment analysis and lexical methods.

As part of my work with Minivillage, a social purpose tech startup, I conducted a comprehensive analysis of their beginning-of-pilot survey.

This project presents a deep learning method to enhance compressed images specifically for machine learning tasks, addressing the performance degradation caused by image distortions such as blurring and blocking. The approach combines an image restoration network and a classification network to optimize compressed image quality for machine consumption.

This project aims to protect digital privacy by using a deep learning model, YOLOv8n, to detect sensitive information in WeChat screenshots. The model addresses privacy concerns by automatically identifying and allowing anonymization of personal details, enhancing security in digital media sharing.

This project was a hands-on exploration of Artificial Intelligence, completed as part of CPEN 502 - Architecture for Learning Systems. The primary objective was to develop an intelligent tank, leveraging Reinforcement Learning (RL) and Neural Networks (NNs), to autonomously battle against explicitly programmed tanks within a game environment. Through this project, I applied machine learning techniques to design an unsupervised tank that can adapt to its environment and optimize its performance over time.

This project presents a deep learning method to enhance compressed images specifically for machine learning tasks, addressing the performance degradation caused by image distortions such as blurring and blocking. The approach combines an image restoration network and a classification network to optimize compressed image quality for machine consumption.