abdelhak002 / plagiarism-detector-cnn

Plagiarism Detector using CNN built in using Flask and TensorFlow

Plagiarism Detection Project

This project aims to detect plagiarism between two given texts using a pre-trained machine learning model.

Getting Started

Prerequisites

Make sure you have the following installed on your machine:

• Python (>=3.11.6)
• Node.js (>=20.10.0)
• Pip (Python package installer >=23.3.2)
• Git

Installation

1. Clone the repository:

   git clone https://github.com/abdelhak002/plagiarism-detector-cnn.git
   

2. Change into the project directory:

   cd plagiarism-detection-cnn

3. Create a virtual environment (optional but recommended):

   python -m venv .venv

4. Activate the virtual environment:

   • On Windows:

   .\.venv\Scripts\activate

   • On macOS/Linux:

   source .venv/bin/activate

5. Install project dependencies:

   pip install -r requirements.txt

   npm install

6. Training the model:

   python model/build_model.py

7. Testing the model:

   python test_model.py

Flask Web App:

we load the pre-trained model and tokenizer from the model directory and use them in the flask web app.

to run the flask web app:

flask --app app run
/or
python -m flask --app app run

debug mode:

flask --app app run --debug
/or
python -m flask --app app run --debug