AI Powered Course Evluation Summarizer

• Tech Stack: Ruby on Rails, OpenAI API, HTML, CSS, Postgres, Agile, Requirement Gathering
• Github URL: Project Link

AI-Driven Automation: Led the development of a Ruby web application to automatically summarize university course evaluation forms, streamlining manual data analysis for faculty and staff.

ChatGPT API Integration: Replaced the initial ML-based summarization approach with OpenAI’s ChatGPT API, enabling accurate and context-aware summaries from Excel-formatted evaluation data using a single prompt — “summarize this for me.”

Full-Stack Development: Implemented PostgreSQL for structured data storage and integrated Google OAuth for secure login and role-based access.

Agile Leadership: Served as Scrum Master, managing sprint cycles, continuous documentation, and testing to maintain development velocity and cross-functional collaboration.

Impact: Delivered a robust and scalable platform, improving report generation efficiency and accuracy in academic feedback analysis for professors at Texas A&M University.