This work was done under Dr. Siddhartha Nath at the Santa Clara University.

This is the Resume Analysis Chatbot.

Order to run programs:

1. preprocess.py
2. extract_metadata.py
3. create_output_folder.py
4. main_pipeline.py (main program)

extract_metadata.py

To run preprocess.py, run:

python3 preprocess.py /path/to/resume/folder

preprocess.py will return:

All resumes have been preprocessed and saved at: /path/to/preprocessed/resume/folder"

Save that path: /path/to/preprocessed/resume/folder (processed resume dataset path).

extract_metadata.py

To run extract_metadata.py, run:

python3 extract_metadata.py /path/to/preprocessed/resume/folder

extract_metadata.py will return:

Extracted Metadata at path: /path/to/preprocessed/resume/folder

Save that path: /path/to/preprocessed/resume/folder (processed resume dataset path).

create_output_folder.py

To run create_output_folder.py, run:

python3 create_output_folder.py /path/to/preprocessed/resume/folder

create_output_folder.py will return:

Folder created successfully at: /path/to/output/folder

Save that path: /path/to/output/folder (output folder path).

main_pipeline.py

To run main_pipeline.py, run:

python3 main_pipeline.py /path/to/preprocessed/resume/folder /path/to/output/folder