Auto Grader

About the Project

Auto Grader is a cutting-edge solution that streamlines the grading process by leveraging a deep learning pipeline. This innovative project automates the evaluation of answer sheets, making use of Computer Vision (CV) and Optical Character Recognition (OCR) to read and extract answers. It then employs BERT embeddings for similarity analysis, allowing for efficient and objective grading. It significantly reduces the time and effort required for manual grading while ensuring accuracy and consistency in the evaluation process. By combining CV, NLP, Tensorflow, FastAPI, and Docker, this project offers a versatile and robust solution for educators and institutions.