Plagio

Plagio is a plagiarism detection tool that supports both text and code.
It includes AI content detection for text, highlights plagiarized lines, and allows users to view previous analyses for tracking.

The system is built with Flask (backend), React (frontend), and SQLite (database), and integrates with external APIs for accurate detection.

Features

• 🔍 Text plagiarism detection with AI content checking (Sapling and Winston)
• 💻 Code plagiarism detection (Mosspy)
• ✨ Highlighting of plagiarized lines in results
• 📊 View history of previous analyses
• 🗄️ Lightweight database storage with SQLite
• 🔒 Secure authentication with Flask-Login and bcrypt

Tech Stack

• Backend: Flask, Flask-SQLAlchemy, Flask-Login, Flask-Bcrypt
• Frontend: React
• Database: SQLite
• External APIs: Moss, Sapling and Winston
• Libraries: BeautifulSoup4, RapidFuzz, PyPDF2, python-docx, Mosspy, Requests

Installation

1. Clone the repository:

   git clone https://github.com/tanziarahman/Plagio.git
   cd Plagio
   

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate   # On Linux/Mac
   venv\Scripts\activate      # On Windows
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Run the Flask backend:

   cd backend
   flask run
   

5. Start the React frontend:

   cd frontend
   npm install
   npm start
   

Requirements

See requirements.txt for the full list of dependencies.

Key dependencies include:

• Flask 3.1.1
• Flask-SQLAlchemy 3.1.1
• Flask-Login 0.6.3
• Flask-Bcrypt 1.0.1
• React
• SQLite
• Mosspy 1.0.9
• RapidFuzz 3.13.0
• PyPDF2 3.0.1
• python-docx 1.2.0

Usage

• Upload one or more files (text or code).
• Run the analysis.
• View similarity percentages and highlighted plagiarized lines.
• Access previous analyses from history.

License

This project is for educational purposes. You may use or modify it with proper credit.