nhanpotter/asas

Automated Short Answer Scoring

Detailed guide

Project report

Requirements

The code is written in Python 3.7, and it needs to be run inside a virtual environment to isolate package installation from the system. Hence, Package manager, pip, and virtual environment is required in this project.

Backend dependencies

• Django
• Django REST framework
• django-cors-headers

Machine learning libraries

• TensorFlow 1.13.1
• pandas
• NumPy
• Keras 2.1.0
• scikit-learn
• nltk

Note: tensorflow-gpu should be installed for GPU usage. For further information, click here

Frontend dependencies

• npm
• React

Required files

• GloVe

Deployment

Open Installing Guide for more detailed guide and guide for running on GPU.

1. Activate virtual environment.
2. Run Django server

python3 manage.py runserver

3. Run React

npm start

4. Access website at localhost