Newsentify

Newsentify is an AI-powered news aggregator that fetches and categorizes news articles based on predefined keywords while providing real-time sentiment analysis and dynamic text summarization using natural language processing (NLP) techniques.

Features

• News Aggregation: Uses the NewsAPI to fetch the latest news articles.
• Categorization: Automatically categorizes articles into topics like Technology, Sports, and Finance.
• Sentiment Analysis: Integrates TextBlob to determine the sentiment (Positive, Negative, or Neutral) of news articles.
• Dynamic Summarization: Summarizes article content dynamically using NLP techniques.
• Customizable Filters: Users can filter articles by categories, sentiment, and keywords.

Technologies Used

• Backend: Flask (Python)
• Sentiment Analysis: TextBlob
• API Integration: NewsAPI
• Frontend: HTML, CSS, Jinja2 templates

Installation

1. Clone the repository:

   git clone https://github.com/raina1806/Newsentify.git
   cd newsentify

2. Install the required Python packages:

   pip install -r requirements.txt

3. Add your NewsAPI key in a config.py file:

   API_KEY = 'your_api_key_here'

Usage

1. Start the Flask server:

   python app.py

2. Open a web browser and go to http://127.0.0.1:5000/.
3. Use the search bar and filters to explore news articles.

Project Structure

newsentify/
├── templates/
│   ├── index.html
├── static/
│   ├── styles.css
├── app.py
├── config.py
├── requirements.txt
└── README.md

Screenshots

News Dashboard

Future Enhancements

• Advanced NLP models for more accurate summarization and sentiment analysis.
• User accounts for personalized news feeds.
• Integration with additional news APIs for broader coverage.
• Fake News Detection
• Advanced categories

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

Newsentify – Your AI-powered news companion for smarter, sentiment-aware news consumption.