johnmathewdino/plagiarismchecker

A OCR based Plagiarism Checking Software

Plagio: An OCR enabled Plagiarism Checker

With the spread of the COVID-19 pandemic, the world is observing a shift in the paradigm of the system of education as more institutions adopt online and cloud-based systems of teaching and evaluation. However, this change comes with its pitfalls, one of the most prominent being the inability to check for plagiarism effectively in answer sheets, especially if it is handwritten. Our proposed software involves an Optical Character Recognition (OCR) system that can extract textual data from scanned images of pages with handwritten information on them. Then the extracted data is checked for plagiarism against a database of approximately 130 trillion web pages, and a final report is generated.

Flow of Data

There are 3 main modules to the project:

1. OCR Module
2. Plagiarism Checker Module
3. Website

And the internal data flow is depicted by the following block diagram.

How to set up

1. Clone the repository using git clone https://github.com/DebadityaPal/PlagiarismChecker
2. Move into the directory using cd PlagiarismChecker
3. Install all dependencies for the backend using pip install -r requirements.txt
4. Move into the frontend folder using cd frontend
5. Install all dependencies for the frontend using npm install

How to run the software

Backend

1. Move into the backend folder from the root folder using cd backend
2. Run the server using python manage.py runserver 8000 It is important to start the server at port 8000, otherwise frontend requests might not be served.

Frontend

1. Move into the backend folder from the root folder using cd frontend
2. Run the server using npm run start