An interactive web application that analyzes resumes based on a job description using natural language processing techniques. https://www.youtube.com/watch?v=0eo_5oyW11o&t=1s

• Upload job descriptions and resumes in PDF format.
• Process resumes to extract names, emails, and text content.
• Calculate the similarity between the job description and each resume.
• Rank resumes based on similarity percentage.
• Download the ranked resumes in a CSV file. (Fixed by @atiumcache)
• Dark Mode Contributed by @hbalickgoodman

1. Clone the repository:

   https://github.com/iamamanporwal/resume-ranker.git

2. Navigate to the project directory:

   cd resume-analyzer

3. Install dependencies (Install the latest libraries instead of the specific ones mentioned in the txt file):

   pip install -r requirements.txt

4. Run the Flask app:

   python app.py

5. Access the app in your web browser at http://localhost:5000.

├── app.py
├── static/
│   └── styles.css
├── templates/
│   └── index.html
├── uploads/             # Uploaded resumes will be saved here
├── requirements.txt
├── README.md
└── .gitignore

Contributions are welcome! Feel free to open an issue or submit a pull request.

This project was inspired by the desire to create an interactive tool for HR professionals to easily analyze job applicants' resumes.

Have questions or feedback? Feel free to reach out via [email protected].

Developed with ❤️ by Aman Porwal