Skip to content

kanaklatwal/Scam-Detector

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

52 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

🚨 Scam Website Detector (MERN + ML)

A full-stack web application that detects fake or scam e-commerce websites using Machine Learning.

🔍 Features

  • Enter any website URL
  • Detect if website is Scam or Genuine
  • Shows Risk Score (%)
  • Real-time analysis
  • Modern UI (React + Tailwind)

🧠 Tech Stack

  • Frontend: React.js, Tailwind CSS
  • Backend: Node.js, Express.js
  • Database: MongoDB
  • ML Service: Python (Flask)

⚙️ How to Run

1️⃣ Start ML Service cd ml-service python app.py 2️⃣ Start Backend cd server npm install node index.js 3️⃣ Start Frontend cd client npm install npm start 📊 Example Output Result: Scam Risk Score: 75% 🚀 Future Improvements Real ML model (scikit-learn) Domain age detection (WHOIS) Fake review detection Dashboard analytics Chrome extension

👩‍💻 Author

Kanak Latwal

About

Fake e-commerce website detection using MERN + ML

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors