🛡️ Rapid Code Plagiarism Detector

NLP • ML • Streamlit • Automatic Typing-Time Cheating Detection

This project detects plagiarism in coding assignments using TF-IDF similarity and detects cheating behaviors using real-time typing speed analysis — all inside a clean Streamlit UI.

🚀 Features

🔍 1. Code Similarity Detection

Uses TF-IDF (Scikit-learn)

Cosine Similarity

Detects copy-paste, paraphrased, and slightly modified code

Color-coded plagiarism score

⏱️ 2. Typing-Time Cheating Detector (Unique Feature)

Automatically detects if students:

Actually typed their code line-by-line

Pasted large chunks instantly

Typing too fast for any human to achieve

Uses keystroke timing to catch unfair practices in online contests or assignment submissions.

🧠 Tech Stack

Streamlit — UI

Scikit-learn — TF-IDF + ML

NLTK — Tokenization

Python — typing-time analysis

📁 Project Structure

Rapid-code-plagiarism-tool/ │── app.py │── README.md │── requirements.txt │── utils/ │ ├── similarity.py │ ├── typing_detector.py │ ├── datapreprocessing.py

▶️ Run Locally

pip install -r requirements.txt
streamlit run app.py

🌐 Deploy on Streamlit Cloud

Push this repository to GitHub

Go to https://share.streamlit.io

Connect your repo

Select app.py

Deploy 🚀

💡 Why This Project Is Unique

Combines NLP + ML + Streamlit

Detects copy-paste cheating in coding contests/exams

Real-time keytype analysis without external libraries