AI News Aggregator

An autonomous AI agent that crawls, summarizes, and publishes news articles.

The AI News Aggregator is designed to autonomously gather news articles from various sources, generate concise summaries using advanced natural language processing techniques, and publish these summaries on a user-friendly web interface.

• Automated Web Crawling: Collects the latest news articles from multiple sources.
• AI-Powered Summarization: Utilizes state-of-the-art models to generate concise summaries.
• Seamless Publishing: Automatically updates the frontend with the latest summaries.

• Sourabh Sah: Web Crawling and Data Extraction
• Ravi Prakash Srivastava: Summarization and Blog Generation
• Nainika Anand: Publishing and Frontend Integration

1. Clone the Repository:

   git clone https://github.com/100rabhsah/ai-news-aggregator.git
   cd ai-news-aggregator

2. Install Dependencies:

   pip install -r requirements.txt

3. Configure Environment Variables:

   • Create a .env file in the root directory.
   • Add necessary environment variables (e.g., API keys, database credentials).

4. Run the Application:

   python main.py

ai-news-aggregator/
├── crawler/          # Contains web crawling scripts
├── summarizer/       # Modules for article summarization
├── database/         # Database models and connectors
├── frontend/         # Frontend application code
├── main.py           # Entry point of the application
├── requirements.txt  # List of dependencies
└── README.md         # Project documentation

We welcome contributions from the community. To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.