AI-Powered PTDA Nominee Evaluation
Automated qualitative review analysis using AI
The Problem
Evaluating large numbers of nominees involved reading extensive qualitative reviews. The process was time-consuming and subjective, making consistent ranking difficult.
What I Built
Developed a Python application that processes nominee reviews through OpenAI API, extracts key attributes, generates consistent scores, and produces ranked comparison reports.
My Role
Designed the AI evaluation workflow, implemented API integration, and created the scoring and ranking system.
How It Works
OpenAI API integration for text analysis
Prompt engineering for consistent attribute extraction
Multi-criteria scoring framework
Pandas for data aggregation and ranking
Excel output with detailed breakdowns
Key Takeaways
AI can add significant value to HR evaluation processes
Prompt design is critical for consistent results
Human oversight remains important for final decisions