AnswerScriptEvaluation

A project to automate an answer script evaluator.

INDEX

• Getting Started
• Setting Up Dev Environment

Getting Started

1. Download and install Python3 from this link
2. Install virtualenv to create a virtual environment for the project.
   • You can do this using a terminal and type :

     py -m pip install --user virtualenv

   • For macOS and Linux:

     python3 -m pip install --user virtualenv

3. Now create and activate the virtual environment

   virtualenv AnswerScriptEvalution

   • For Windows

     cd AnswerScriptEvaluation\Scripts
     activate

   • For macOS and Linux

     source AnswerScriptEvaluation/bin/activate

4. Use your google cloud credentials to generate a token to use the google vision api.

Setting Up Dev Environment

1. Clone the repo

git clone https://github.com/aniruddhakj/AnswerScriptEvaluation

• install streamlit

pip3 install streamlit

• install google-cloud-vision library

pip3 install google-cloud-vision

• run main program

streamlit run main.py

streamlit API reference