Fraud Filter - Fake Product Detection System

Fake Product Review Detection System 📌
The Fake Product Detection System is a machine learning-powered web application that helps users identify whether a product has genuine or manipulated reviews on eCommerce platforms. It leverages Natural Language Processing (NLP) and supervised learning models to analyze reviews and detect fake ones.

---

🌟 Features

Feature	Description
Fake Review Detection	Classifies reviews as Fake or Original using a trained ML model.
User-Friendly Interface	Simple, intuitive UI built with React & Tailwind CSS.
API Integration	Connects to a Flask backend for real-time predictions.
Data Upload Support	Allows users to upload CSV datasets for batch analysis.
Visualization & Insights	Displays review authenticity percentage with meaningful insights.
Fast & Efficient Processing	Uses vectorization techniques for quick text analysis.

---

🛠 Tech Stack

✅ Frontend: Vite + React + Tailwind CSS
✅ Backend: Flask (REST API)
✅ Machine Learning: Scikit-learn (Logistic Regression)
✅ Model Storage: Joblib for saving/loading .pkl models
✅ Data Processing: Pandas & NumPy

---

📌 How It Works ?

1️⃣ Train the Machine Learning model using real & fake review datasets.
2️⃣ Save the trained model as fake_review_model.pkl.
3️⃣ Run the Flask backend server to expose a REST API.
4️⃣ Connect the React frontend to interact with the API.
5️⃣ Upload or enter product reviews to get authenticity results.

⚡ This system empowers consumers to make informed purchasing decisions by identifying fraudulent product reviews!

---

📂 Project Directory Structure

FraudFilter - Minor Project/
│── backend/
│   ├── .venv/                     # Virtual environment (version = 3.13.2) 
│   ├── ml/                        # ML-related scripts and utilities  
│   ├── model/                     # Trained ML models  
│   ├── scraped_files/             # Stores scraped eCommerce reviews  
│   ├── uploads/                   # Stores uploaded files for analysis  
│   ├── utils/                     # Helper functions for backend  
│   ├── app.py                     # Main Flask API file  
│   ├── requirements.txt           # Python dependencies  
│── frontend/
│   ├── node_modules/              # Dependencies for frontend  
│   ├── public/                    # Public assets like index.html  
│   ├── src/                       # React source files  
│   │   ├── components/            # Reusable React components  
│   │   ├── assets/                # Images, icons, etc.  
│   │   ├── utils/                  # Utility functions  
│   ├── .env                        # Environment variables  
│   ├── .gitignore                  # Git ignore file  
│   ├── eslint.config.js            # ESLint configuration  
│   ├── index.html                  # Main HTML file  
│   ├── package.json                # Frontend dependencies  
│   ├── package-lock.json           # Lockfile for package versions  
│   ├── postcss.config.js           # PostCSS configuration  
│   ├── README.md                   # Project documentation  
│   ├── tailwind.config.js          # Tailwind configuration  
│   ├── vite.config.js              # Vite configuration  

---

📦 Installation & Setup

🔹 Prerequisites

Ensure you have the following installed on your system:

• Python 3.8+
• Node.js & npm
• pip (Python package manager)
• Virtual env (recommanded: use virtual environment if accidently installed requirements globally use "pip uninstall -r requirements.txt -y")

---

🔹 Backend Setup (Flask API)

# Navigate to the backend folder
cd backend

# Create a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt
#[recommanded: use virtual environment if accidently installed requirements globally use "pip uninstall -r requirements.txt -y]

# Run the Flask server
python app.py

🚀 Flask API will start at http://127.0.0.1:5000/

🔹 Frontend Setup (React + Vite + Tailwind CSS)

# Navigate to the frontend folder
cd frontend

# Install dependencies
npm install

# Start the development server
npm run dev

🚀 React app will run at http://localhost:5173/

---

📸 Demo Screenshots

Interface	Preview
HOME
WORKING
ABOUT
CONTACTS
BLOGS
FAQ's
MODEL TRY PAGE
USING CSV FILE
USING PRODUCT LINK

📌 More detailed UI screenshots can be found in the project_images/ folder.

---

Disclaimer

This project is developed for educational and research purposes only. We have used publicly available product reviews from Flipkart to analyze and detect fake reviews. No part of this project is intended for commercial use or to infringe on Flipkart’s rights. All trademarks and product information belong to their respective owners. If required, we are willing to remove any data or content upon request.

---

🔗 Contributing

💡 Want to contribute? Fork the repo, create a branch, and submit a pull request. I welcome bug fixes, feature improvements, and optimizations.

---

📬 Contact

💻 Developed by Manish Patel

📧 Email: maneeshkurmii@gmail.com
🔗 LinkedIn: itsmaneeshk
📷 Instagram: its_maneeshk_

---

🏆 Tech Badges

---

🔹 Follow my work on GitHub & let's build something amazing together! 🚀