GradeUp

This is a web application where teaching faculty can grade student responses using an inbuilt AI algorithm and get feedback and students can view their individual scores.

Why GradeUp?

• Intuitive Design
• Fast and accurate grading
• Easy communication of grades to students
• Feedback based on performance

Tech Stack

• HTML
• CSS
• Bootstrap
• Javascript
• React.js
• Python(libraries mentioned in requirements)
• MongoDB
• Flask

Instructions to make the model answer key:

• The model answer key.txt file must start with Total marks mentioning the total marks in the paper.
• Then it must have the Total Questions mentioned in the paper.
• Then it must show the question wise marks distribution.
• Then it must have the answer in the following format: Answer 1(Replace with the answer number) : Subpoint 1[Content of subpoint] Type: Mention the type: meaning, keywords,FIB. If the type is keywords then write a hyphen and write all the keywords you expect in the answer separated by commas. * In the Type: end the line with maximum marks for that subpoint in square brackets. [ ] * After each subpoint, in a new line write two hyphens(--) * Write other subpoints in the same format.
  • After each answer, write ‘End of answer’ signifying the end of that answer.

Requirements

1. Make sure that you have react.js app and mongodb installed on your system. 2.Run "pip install flask, pymongo, urlib.parse, bcrypt, flask_cors, flask_login, bson,pandas, re, io, werkzeug.utils,scipy,matplotlib" for python on Windows

How to run this app?

1. Change the directory to the folder where you have cloned this repo.
2. Run "npm start" in terminal.
3. Run "python app.py" in another terminal..

Video Demo

https://drive.google.com/drive/folders/1q6p7x2jkTtNGwvBgUUsPo7yzstH-t4GL

Contributors

1. Aditya Mundada @B1tB3ast
2. Nayan Kakade @nayan-1210
3. Haaziq Jamal @Haaziq386
4. Hariharan @notapro-I
5. Meet Sindhav @meets3112