Deep-learning-based-resume-parser-and-analyzer

It is resume parser and analyzer based on Deep learning. It automates the process of resume filtering. It extracts and analyzes all important factor of resume like experience, education, project etc.

How to use it

• A training data generation and annotation tool is created in the scripts folder which allows resume deep learning training data to be generated from any pdf and docx files stored in the scripts/data/resume_samples folder, To launch this tool, run the following command from the root directory of the project:

cd demo
python create_training_data.py

• After the training data is generated and annotated, one can train the resume parser by running the following command:

cd demo
python dl_based_parser_train.py

• After the trained models are saved in the scripts/models folder, one can use the resume parser to parse the resumes in the scripts/data/resume_samples by running the following command:

cd demo
python dl_based_parser_predict.py

Instructions

• You can train it on your own data.
• At present it only works on .pdf and .docx format.
• Motivation : chen0040

Requirements

• Python 3.4+
• Tensorflow CPU/GPU
• Keras
• All basic Libraries : Numpy,Scipy,Matplotlib.