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Our project develops a resume match recommendation engine leveraging distilBERT. This system will efficiently analyze a user's resume using distilBERT's pre-trained language understanding to determine the most relevant job matches for the candidate.

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sprices-exist/CV-match-AI

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Instructions to run

1. Clone the repository to your PC

2. Run the following command (assuming python is installed on your pc)

pip install -r requirements.txt

3. Right click and open the folder in your favorite IDE/code editor (or IDLE)

4. Run SkillSync.py

5. Wait until a localhost URL is printed in the output, then open the URL in a browser

6. That's it, the program is running successfully!

CV-match-AI

Our project develops a resume match recommendation engine leveraging distilBERT. This system will efficiently analyze a user's resume using distilBERT's pre-trained language understanding to determine the most relevant job matches for the candidate.

Following dataset used to generate the processed job postings file: https://www.kaggle.com/datasets/arshkon/linkedin-job-postings

To run application SkillSync.py should be executed, with all requirements.txt libraries installed.

Example usage for Law CV with corresponding output: Alt text

Example usage for Social CV with corresponding output: Alt text

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Our project develops a resume match recommendation engine leveraging distilBERT. This system will efficiently analyze a user's resume using distilBERT's pre-trained language understanding to determine the most relevant job matches for the candidate.

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