RoshanEssay

Is a Education tool that validate essays, the program uses a API to check for plagiarism (copyright). It also uses a modified version of GPT-2 to detect the likelihood if a text was real or fake. Then it outputs a validation score using 2 scores. In order to grade the essay, it uses a neural network model trained on the automatic essay grading dataset on Kaggle found here https://www.kaggle.com/c/asap-aes/data.

Dependencies

• Stripe

• Firebase

• Copyleaks API

• Flask

• GPT-2 model

• D3.js

This is an ongoing, open source project. Please contribute so this project can be finished faster.

Quickstart

   Install dependencies for Python >3.6 :

   pip install -r requirements.txt
   
   run server for gpt-2-small:
   
   python server.py

Extend the backend

The backend defines a number of api models which can be invoked by starting the server with the parameter --ModelNAME. To add a custom model, you need to write your own api in backend/api.py and add the decorator @register_api(name=NAME).

Extend the frontend

the source code for the front-end is in client/src.

To modify, installing node dependencies is necessary:

    cd client/src; npm install; cd ../..

re-compilation of front-end:

    > rm -rf client/dist;cd client/src/; npm run build; cd ../..