Frequency Weighted Text Summarizer

An interactive web application that uses natural language processing to summarize text, built with Python, Flask, and Next.js.

Features

• Text summarization using NLTK
• Adjustable summarization threshold
• Responsive web interface

Technologies

• Backend: Python, Flask, NLTK
• Frontend: Next.js, React, Tailwind CSS
• API: RESTful API with JSON

Installation

1. Clone the repository
2. Set up the backend: cd backend pip install -r requirements.txt
3. Set up the frontend: cd frontend npm install

Usage

1. Start the backend server: cd backend python app.py

2. Start the frontend development server: cd frontend npm run dev

3. Open http://localhost:3000 in your browser

Future Improvements

• Add support for multiple languages
• Implement more advanced NLP techniques
• Create a Docker setup for easier deployment

License

This project is open source and available under the MIT License.