AI Evaluation and Output Scoring (Resume Analyzer Project)
Designed and implemented an AI-powered resume analyzer that extracts structured text information, predicts experience levels, and evaluates candidate profiles against defined scoring criteria. Evaluated AI system outputs for accuracy and relevance by comparing with professional-standard benchmarks. Delivered structured, scored recruitment and improvement reports based on AI-generated data and reasoning quality. • Used Python and Streamlit to build the evaluation pipeline. • Applied multi-step scoring rubrics for output assessment. • Performed validation and feedback cycles for AI logic and reporting. • Ensured structured data extraction and insight accuracy in the workflow.