Projects

A machine learning system that predicts professor quality, difficulty, and would-take-again ratings using UTD grade distributions and structured RMP metadata, explaining over 60% of student rating variance.

Live video-to-music system that analyzes visual content in real time and generates adaptive music synchronized to the video. Built during HackTX and refined into a production-ready demo for the Gemini Developer Showcase.

A system that collects, encrypts, and stores system information and key inputs from a client, utilizing secure data transmission, cloud-based storage, and web-based monitoring. Built for educational purposes.

A full-stack web application designed to help UTD students evaluate their degree progress, optimize course planning, and receive AI-powered advising using a RAG chatbot.

A web application that connects to your Spotify account and integrates your top listening activity to generate customized wallpapers.

A web application that helps solve Wordle puzzles by analyzing existing guesses and resulting hints to provide optimal suggestions.

A Python script that aggregates and matches professor ratings from RateMyProfessors with UTD grade distributions, handling name inconsistencies and duplicates for more accurate professor profiles.

A web application that enables users with limited credit history to apply for credit cards and loans using alternative financial documents, powered by AI-driven document analysis, made for HackUTD 11.

A Chrome extension that autofills the UTD Astra Special Room Request Form by saving and entering common info, including dynamic questions.

A C# tool that parses Microsoft Visio files to extract callflow data, build multi-page graphs, and generate optimal test case paths for QA automation. Designed to streamline IVR testing and facilitate integration with platforms like TestRail.