Resume Matcher with Local NLP

This project is a full-stack application that allows users to upload a resume and a job description, and receive a match score along with suggestions for improvement. The frontend is built with React, while the backend is implemented using Flask. The application performs cosine similarity analysis, tokenization, and custom NLP to provide the match score and suggestions.

Project Structure

ResumeMatcherLocalNLP/
├── backend/
│   ├── app.py
│   ├── requirements.txt
└── frontend/
    ├── public/
    │   └── index.html
    ├── src/
    │   ├── App.css
    │   ├── App.js
    │   ├── index.js
    └── package.json

Prerequisites

• Python 3.x
• Node.js
• npm (Node Package Manager)

Setup Instructions

1. Clone the Repository

git clone https://github.com/twittt/ResumeMatcherLocalNLP.git
cd ResumeMatcherLocalNLP

2. Setup the Backend

a. Navigate to the Backend Directory

cd backend

b. Create a Virtual Environment

python -m venv venv

c. Activate the Virtual Environment

• Windows:

  venv\Scripts\activate

• macOS/Linux:

  source venv/bin/activate

d. Install the Requirements

pip install -r requirements.txt

e. Run the Flask App

python app.py

The Flask app will be running on http://localhost:5000.

3. Setup the Frontend

a. Navigate to the Frontend Directory

cd ../frontend

b. Install the Dependencies

npm install

c. Start the React App

npm start

The React app will be running on http://localhost:3000.

Usage

1. Open your browser and navigate to http://localhost:3000.
2. Upload a resume file (.pdf, .doc, or .docx).
3. Paste the job description text.
4. Click on the "Match" button to get the match score and suggestions for improvement.
5. Use the "Reset" button to clear all uploads and text areas.

Contributing

If you would like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-branch
3. Make your changes and commit them: git commit -m 'Add new feature'
4. Push to the branch: git push origin feature-branch
5. Submit a pull request.

License

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