A production-ready web application for detecting and analyzing media bias in news articles using advanced NLP techniques and machine learning models.

• Modern UI/UX: Clean, responsive design with Material-UI components
• Web Scraping: Intelligent scraping from multiple news sources
• Advanced Bias Analysis: ML-powered bias detection with detailed insights
• Real-time Dashboard: Interactive analytics with beautiful visualizations
• Database Storage: Persistent storage with MongoDB
• Secure Authentication: JWT-based user system
• Personal Article Management: Users can hide/unhide articles individually
• Production Ready: Optimized for deployment

Frontend:

• React
• Material-UI
• Chart.js

Backend:

• Python
• Flask
• MongoDB
• NLP/ML libraries

npm install
pip install -r requirements.txt

Create .env:

MONGODB_URI=your-mongodb-uri
JWT_SECRET=your-jwt-secret
FLASK_ENV=development

# Start backend
python app.py

# Start frontend
cd frontend
npm start

├── api/              # API endpoints
├── config/           # Configuration
├── frontend/         # React frontend
├── models/           # Database models
├── scrapers/         # Web scrapers
├── services/         # Business logic
└── app.py           # Main application