iABn0rma1 / CV-XRay.Flask

A user-friendly web application built with Flask that simplifies the process of extracting email addresses and phone numbers from resumes and CVs.

CV Extractor

CV Extractor is a web application that allows users to upload CV files (in .doc, .docx, and .pdf formats), and extracts contact information (emails and phone numbers) from them.

Tech Stack

• Frontend: HTML, CSS
• Backend: Python, Flask, OpenPyXL, docx2txt, PyPDF2

Installation

1. Clone the repository:

   git clone https://github.com/iABn0rma1/CV-XRay.Flask

   cd cv-xray.flask

2. Create a virtual environment:

   python3 -m venv myvenv
   source myvenv/bin/activate  # On Windows use `myvenv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the Flask application:

   python app.py

5. Open your browser and go to:

   http://127.0.0.1:5000/
   

File Structure

CV-XRAY.FLASK/
│
├── app.py                 # Flask backend application
├── requirements.txt       # List of Python dependencies
├── templates/
│   └── index.html         # HTML template of the app
└── README.md              # This README file

Contributing

Contributions are welcome! Please fork this repository, make your changes, and submit a pull request.

1. Fork the Project

2. Create your Feature Branch

git checkout -b feature/AmazingFeature

3. Commit your Changes

git commit -m 'Added: AmazingFeature'

4. Push to the Branch

git push origin feature/AmazingFeature

5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.