Text Summarization Project

This project aims to summarize text content provided through a URL, using Natural Language Processing techniques.

Features

• Accepts a URL as input.
• Retrieves text content from the provided URL.
• Applies text summarization algorithms to generate a concise summary.
• Displays the summarized text to the user.

Technologies Used

• Python (Flask) for the backend.
• HTML, CSS, and JavaScript for the frontend.
• Natural Language Toolkit (NLTK) for text processing.

Setup Instructions

1. Clone this repository to your local machine.

2. Install the required Python packages using pip:

• pip install flask requests beautifulsoup4 nltk pandas

Note: NLTK requires additional downloads. Run the following commands in your Python environment: import nltk nltk.download('punkt') nltk.download('stopwords')

3. Run the Flask application:

• python main.py

4. Open your web browser and navigate to http://localhost:5000 to access the application.

Usage

1. Enter a valid URL containing text content into the input field.
2. Click the "Summarize" button.
3. View the summarized text displayed on the same page.

Contributors

• Nidha Ahmed Mohammad link-to-github-profile

License

This project is licensed under the GNU General Public License v3.0.