Web-Based Assignment Plagiarism & AI Content Detection Tool

Simple academic project demonstrating local plagiarism and AI-like content detection without external APIs.

Files:

• index.html — main UI
• style.css — basic styling
• script.js — detection logic and UI wiring
• reference.txt — sample reference text used for similarity checks

How to use:

1. Open index.html in a browser (double-click or serve from a local server).
2. Upload a .txt file or paste text into the textarea.
3. Click "Analyze" to get:
   • Word count
   • Sentence count
   • Average sentence length
   • Plagiarism / similarity percentage (compares words to reference.txt)
   • AI-generated likelihood percentage and label (Human-written / Mixed / Likely AI-generated)

Notes & limitations:

• This project uses simple, explainable heuristics suitable for coursework. It is not production-grade.
• AI detection is only an estimation. See the disclaimer in the UI.
• No external APIs or network calls are required except loading reference.txt locally.

Server mode (recommended for PDF / DOCX support):

1. Install dependencies (Node.js required):

npm install

2. Start the server:

npm start

3. Open the app at http://localhost:3000/index.html and upload .txt, .pdf, or .docx files.

Notes:

• The server uses pdf-parse and mammoth to extract text from PDF and DOCX files.
• AI detection is an estimation based on simple linguistic heuristics.

Ideas for extension:

• Use multiple reference files or simple n-gram overlap for stronger plagiarism checks.
• Add a settings panel to tune weights used in AI-likelihood computation.

Enjoy and modify for learning!