Projects from the inaugural cohort of Generative AI for Software Development. Students explored AI-assisted development through hands-on team projects.
A study tool that uses LLMs to generate practice questions, explain concepts, and create flashcards from lecture notes and textbook content.
An automated tool that analyzes codebases and generates documentation, README files, and inline comments using generative models.
A machine learning pipeline that classifies commit messages by type (bug fix, feature, refactor) using both traditional ML and transformer-based models.
A web dashboard that mines GitHub repositories and visualizes code quality metrics, contributor activity, and issue resolution trends.