Multi-Modal Assessment Grading Automation Pipeline

Create a comprehensive Python-based assessment grading system that can process multiple assessment types: multiple-choice, written responses, and project-based evaluations. Utilize natural language processing with spaCy or NLTK to automatically grade written responses, implement computer vision techniques for visual project assessments, and develop a unified scoring algorithm that provides consistent, bias-reduced evaluation across different assessment formats.