AI-Powered GitHub Repository Analyzer

Overview: Co-developed a high-performance, full-stack software application in a student team collaboration designed to ingest, parse, and analyze entire GitHub repositories.

Technical Architecture & Workflow

• Data Integration: Built GitHub API workflows to retrieve and process repository data for downstream analysis.
• LLM-Powered Analysis: Implemented embeddings, prompt engineering, and model evaluation to generate repository insights, testing multiple language models for response quality and efficiency.
• Interface & Visualization: Designed interactive UI components and data visualizations to surface repository metrics and AI-generated insights.

Key Outcomes

Presented project outcomes and technical demonstrations to the learning cohort and industry stakeholders at POSIT.