A Multi-Agent AI System for Automated High School Transcript Processing: Collaborative Document Analysis at Scale

A multi-agent AI system has been developed for automated processing of high school transcripts, addressing the challenges of diverse formats and grading systems. The architecture includes a Pattern Recognition Agent, Semantic Analysis Agent, Vision Intelligence Agent, and an Orchestration Agent for coordination, achieving 96.7% accuracy on a benchmark of 40 transcripts with a processing time of 45 seconds per document. This solution enhances operational efficiency for college admissions by leveraging collaborative document analysis, offering a scalable approach that minimizes resource consumption while maintaining high accuracy.