RoleFitAI - job portal and HRMS powered by LLMs

Watch the video demo here

Follow these instructions in order to locally launch the website using VSCode:

1. Clone this repository using the git clone command

2. Before running the code, create the following empty folders in the project directory ..\RoleFitAI\.

• job_description_final
• job_description_upload
• uploads

An overview of the project's directory structure:

• RoleFitAI/: project main directory
  • jdResume: python files
  • public: HTML, CSS, and Javascript files
  • job_description_final: will contain the final job description
  • job_description_upload: will contain all the uploaded job descriptions
  • uploads: will contain all the uploaded resumes
  • README.md: Getting started guide.
  • How To Setup MySQL.docx: instructions for setting up MySQL in VSCode
  • RoleFitAI_presentation.pptx: a presentation on the project

3. Install the required Node.js libraries using the following command:

npm install express body-parser mysql2 path multer nodemailer

4. To set up MySQL in VSCode follow this guide

5. Install Python Libraries:

git clone https://huggingface.co/ml6team/keyphrase-extraction-kbir-inspec
git clone https://huggingface.co/sentence-transformers/bert-base-nli-mean-tokens
git clone https://huggingface.co/sentence-transformers/all-mpnet-base-v2
pip install transformers sentence_transformers fpdf PyPDF2 pytesseract pypdfium2 docxpy gpt4all

6. After successfully installing pytesseract, you can find the folder containing all the contents of the pytesseract library in the Python installation directory.

   A common path where you might find the "site-packages" directory:

C:\Users\<YourUsername>\AppData\Local\Programs\Python\<PythonVersion>\Lib\site-packages

Rename the folder containing the pytesseract library contents to "tesseract-ocr" and then copy it into the sub-directory 'RoleFitAI/jdResume' within the project.

7. Change the following var paths in main.py wrt to your project directory location:

extractor_model_dir = "path-to-dir-RoleFitAI\\jdResume\\keyphrase-extraction-kbir-inspec"
st_model_dir = "path-to-dir-RoleFitAI\\jdResume\\bert-base-nli-mean-tokens"
pytesseract.pytesseract.tesseract_cmd = r"path-to-dir-RoleFitAI\\jdResume\\tesseract-ocr\\tesseract.exe"
jd="path-to-dir-RoleFitAI\\job_description_final\\jd.pdf"

8. Change the following variable paths in jtjd.py wrt to your project directory location:

pytesseract.pytesseract.tesseract_cmd = r"path-to-dir-RoleFitAI\\jdResume\\tesseract-ocr\\tesseract.exe"
st_model_dir = "path-to-dir-RoleFitAI\\jdResume\\all-mpnet-base-v2"

If you wish to utilize it, uncomment the GPT-4-All code in jtjd.py.

9. To open the homepage in your local browser at http://localhost:5500/, execute the following command in the VSCode terminal:

node server.js