Marking.IO
CV Project
Marking.IO
Automated Assessment & Grading
Computer Vision & Machine Learning for Educational Technology
ML-powered system for automated MCQ grading of student papers and assignments with high accuracy plus detailed dashboards.
Project Deep Dive
Project Overview
Marking.IO is an innovative AI-powered automated grading system designed to revolutionize the way educators evaluate multiple-choice questions (MCQs) and assignments. The system combines advanced computer vision techniques with machine learning algorithms to provide accurate, efficient, and scalable assessment solutions.
The project addresses the time-consuming nature of manual grading by implementing sophisticated image processing algorithms that can detect, extract, and analyze handwritten responses on physical test papers. Using YOLO (You Only Look Once) object detection framework and custom trained models, the system can identify answer bubbles, text regions, and other relevant elements on scanned documents.
The solution includes a comprehensive dashboard that provides detailed analytics on student performance, question difficulty analysis, and automated report generation. This helps educators gain deeper insights into their students' learning progress and identify areas that need additional attention.
The system is built with scalability in mind, supporting batch processing of multiple test papers simultaneously while maintaining high accuracy rates. The integration with cloud services ensures reliable performance and easy deployment across different educational institutions.