NLP Posts Backend

A Flask-based backend service that provides an API to serve Natural Language Processing (NLP) posts. The API delivers paginated data without reliance on a database, ensuring simplicity, performance, and ease of deployment.

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Features

• RESTful API: A straightforward API for accessing NLP-related posts.
• Pagination Support: Handles large data effectively by providing paginated responses.
• JSON Responses: Returns clean, consumable JSON data for integration with frontend applications.
• Stateless and Lightweight: No database - posts are fetched from an in-memory structure or static file.
• Minimal Dependencies: A pure Flask project to ensure easy setup and maintenance.

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Technologies Used

• Python 3.x: Programming language for the backend development.
• Flask: A minimal and lightweight Python web framework.
• Flask-RESTful: For building clean RESTful APIs.

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Installation

Follow these steps to set up and run the project locally:

1. Clone the repository:

   git clone https://github.com/softdev629/nlp-explained-backend.git

2. Navigate to the project directory:

   cd nlp-explained-backend

3. Set up a virtual environment (optional but recommended):

   python -m venv env
   source env/bin/activate      # On Linux/macOS
   env\Scripts\activate         # On Windows

4. Install the required dependencies:

   pip install -r requirements.txt

5. Run the Flask application:

   python app.py

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Future Improvements

• Add support for dynamic updates to the static dataset (e.g., file-based modifications).
• Implement advanced filtering and searching for NLP posts.
• Add authentication and rate limiting for secured access.
• Extend to a microservice architecture if required for scaling.

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Contributing

Contributions are welcome! If you’d like to contribute to this project, follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-name

3. Commit your changes:

   git commit -m "Add a new feature"

4. Push to the branch:

   git push origin feature-name

5. Open a pull request for code review.

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License

This project is licensed under the MIT License. See the LICENSE file for more details.