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AI Resume Parser

ai-resume-parser-ezgif com-optimize

The ai-resume-parser project is a software solution that enables the parsing of resumes using AI.

Installation

Before executing the project, please ensure that you have the following prerequisites installed:

  • Python 3.10+ version

To set up the project, follow these steps:

  1. Navigate to the frontend folder and run the following command to install the necessary dependencies:

npm install

  1. Create a virtual environment named .venv in the api_backend folder and activate it.

  2. Run the following command to install the required Python packages:

pip install -r requirements.txt

Execution

To run the project, follow these steps:

  1. Execute the run_frontend.bat file to start the React frontend UI. It will be accessible at localhost:3001.

  2. Execute the run_backend.bat file to start the backend API.

Usage

Once the project is up and running, you can use it as follows:

  1. Access the React frontend UI at localhost:3001 in your web browser.

  2. Specify the folder URL that contains the resumes you want to parse.

  3. Select the desired output file format, either CSV or JSON.

  4. Click the "Start" button to initiate the parsing process.

  5. Once the parsing is complete, the parsed result will be stored in the api/backend/output folder as either data.csv or data.json, depending on the chosen output format.

Contributing

Contributions are welcome! If you would like to contribute to the project, please follow these steps:

  1. Fork the repository.

  2. Create a new branch for your feature or bug fix.

  3. Make the necessary changes and commit them.

  4. Push your changes to your forked repository.

  5. Submit a pull request, describing your changes in detail.

License

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

Support

If you have any questions, issues, or suggestions regarding the ai-resume-parser project, please feel free to contact us.

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This resume parser is designed to be user-friendly, fast, and accurate with openAI.

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