Develop an intelligent web-based platform that aggregates, summarizes, and analyzes news articles in real time. Users can select specific domains (e.g., politics, technology, sports, finance) to receive tailored news updates. Whenever a new article matching the user’s selected interests is published, an instant pop-up notification will appear.

Beyond aggregation, the system will assess bias in articles by comparing multiple sources covering the same event, highlighting differences in sentiment, language, and framing. Users will receive a balanced summary along with an AI-generated credibility score to help them evaluate the trustworthiness of the content.

• Bias Detection & Transparency: AI highlights variations in reporting, helping users identify media bias.
• Real-Time Personalized Updates: Instant notifications for news in selected domains reduce information overload.
• AI-Driven Credibility Scoring: Provides an objective analysis of article reliability based on sentiment, source reputation, and linguistic patterns.
• Multi-Source Comparison: Aggregates news from diverse sources, offering a holistic perspective on trending topics.

• Frontend: React.js (for dynamic UI & pop-up notifications)
• Backend: Flask/Django (for API handling & ML integration)
• Database: PostgreSQL/MongoDB (for storing user preferences & news data)

• Web Scraping: Scrapy/BeautifulSoup (for fetching news articles)
• NLP & Sentiment Analysis: Hugging Face Transformers, VADER, TextBlob (for bias detection & summarization)
• Machine Learning: Custom models trained on media bias datasets (to score article credibility)

• 🏗️ Create GitHub Repository
• ⚙️ Define Tech Stack
• 🧑‍🤝‍🧑 Assign Team Roles
• 📋 Setup GitHub Projects (Task Management)

• Clone Repository
• Setup Virtual Environment (Python)
• Install Dependencies (pip install -r requirements.txt)
• Set Up .env for API Keys (NewsAPI, DB, JWT Secret)

• main → Stable branch
• dev → Active development branch
• Feature branches:
  • feature/frontend-ui (React UI)
  • feature/api-development (Flask Backend)
  • feature/ml-models (Bias Detection, NLP)
• PR Review & Merge Strategy

• User Authentication (JWT-based)
• Fetch News from NewsAPI
• Store User Preferences (PostgreSQL)
• AI-Powered Bias & Sentiment Analysis
• News Summarization API
• Fact-Checking API Integration (Optional)

• User Dashboard
• News Feed Display
• Category Selection (Domains)
• AI Bias & Sentiment Highlights
• 🔔 Pop-up Notifications for New Articles

• News Bias Detection Model (Hugging Face, VADER)
• AI-Powered Summarization
• Source Credibility Score
• 🕵️‍♂️ Web Scraping (Backup for NewsAPI Limitations)

• User Preferences Schema
• News Storage Schema

• Backend: AWS/GCP (Flask/Django API)
• Frontend: Vercel/Netlify (React.js)
• CI/CD Pipeline (GitHub Actions)

• 🛠️ Error Tracking (Sentry, LogRocket)
• 📈 Performance Optimization
• 🔍 Advanced AI Features
  • Personalized News Recommendations
  • Voice-Based News Summarization
  • Discussion Forums
• 🔄 Regular Updates & Maintenance

This project is licensed under the MIT License - see the LICENSE file for details.

We welcome contributions! Please check our CONTRIBUTING.md file for guidelines on how to get started.

For any inquiries or collaboration requests, feel free to reach out!