Auto-Grade

Converting handwritten answers to text using Handwriting recognition technique and grading them accordingly.

Model

Dataset: MNIST dataset was used.

Architecture:

Training accuracy : 98%

Test accuracy : 99.01%

Answer Detection

• First we convert the pdf to image
• Then using opencv we detect the rectangles in which the answers should be given.
• Cropping out the answers and processing it before passing it to the model for prediction.
• Prediction

To run files on the website check out the format or use :

Data/answers-multipage.csv

Data/answers-multipage.pdf