Honour Research Project: Bias Detection through Unsupervised Learning
Bias Detection through Unsupervised Learning 30 Nov 2024 – Current Executive Summary This innovative research project addresses a critical challenge in today’s digital information ecosystem: detecting and quantifying political bias in news articles and social media content without requiring labeled training data. The framework introduces a novel fully unsupervised pipeline that combines geometric embedding-based techniques with a multi-agent evaluation system to provide a comprehensive, nuanced assessment of media bias across two dimensions - political leaning and rhetorical bias intensity.
May 1, 2025
Quick Draw: Interactive Animal Recognition Web App
Quick Draw 1 Oct 2023 – 25 Nov 2023 Project Overview The Quick Draw project is a collaborative initiative developed during the MAIS202 Bootcamp. The project focuses on implementing a machine learning model capable of predicting animal labels based on user-uploaded images. Leveraging the Google Quick Draw dataset, the application accurately classifies images into 10 distinct animal categories.
Oct 1, 2023