About the Project

Automated Subjective answer checking platform using OCR and NLP.

Aim

We aim to automate test evaluation which will result in Impartial checking as well as reduce man hours required to do so.

Features

• Answer extraction from image using OCR
• Marks evaluation using NLP
• Automated help assistant named Beta

Platform Images

Login to take your Test

Page for uploading answers

Your Help Assistant(Beta) for any problems

Paper Evaluated and Marks Scored

Technologies Used

• Python
• Flask
• Pytesseract
• Opencv
• Tensorflow
• Numpy
• NLTK
• Keras
• Sklearn
• HTML
• CSS
• Javascript

Future Scope

• Teachers can upload their own custom questions and answers.
• Add support for ability to read cursive handwriting as well.
• Improve accuracy

How One Can Use it

a. Deploy the docker container

1. First download the Docker desktop from : https://www.docker.com/products/docker-desktop

2. Install the application

3. Run the following command in terminal:

docker run -d -p 5000:5000 ghcr.io/mohit2pal/alpha_test_ntlhack:main

b. Visit The Website: https://alpha-test-ntlhack.herokuapp.com/

Members

• Ritwatz Raj(https://github.com/ritwatz)
• Subha Bal Pal(https://github.com/mohit2pal)
• Karan Pargal(https://github.com/karanpargal)