Resume Parser is a program designed to automate the task of extracting key information from resumes. With this program, you can easily and quickly extract information such as candidate name, email, phone number, education, work experience, and skills from a resume.

The project has been developed by the ADG team, which consists of @harshitsarda, @Izhan-07, and @kushal-022.

A resume parser is a deep learning/AI framework that identifies complete information from resumes, analyzes, store, organize, and enriches it through its taxonomies. Resume parsing software makes the hiring process quick and more productive.

Fast and accurate resume parsing technology improves efficiency and offers an enhanced candidate experience.

It is a component that automatically segregates the information into various fields and parameters like contact information, educational qualification, work experience, skills, achievements, professional certifications to quickly help you identify the most relevant resumes based on your criteria.

A parser takes input in the form of a sequence of program instructions and tends to build a data structure, a "parse tree," or an abstract syntax tree.

To use the Resume Parser, you will need to download the code from our GitHub repository and install the required dependencies. We have included a requirements.txt file that lists all the necessary libraries.

Once you have installed the dependencies, you can run the program by executing the "resume_parser.py" file. This will launch the program, and you can begin parsing resumes.

To use the Resume Parser, you will need to provide it with one or more resumes in PDF format. The program will extract key information from the resume and store it in a CSV file.

Open the command prompt or terminal and navigate to the project directory. Run the "resume_parser.py" file by executing the following command: python resume_parser.py. Follow the instructions displayed on the screen to input the path to the resume file(s) you want to parse. The program will extract the information from the resumes and store it in a CSV file named "resume_data.csv". Limitations The Resume Parser is designed to work with resumes in PDF format only. It may not be able to extract information from resumes in other formats.

Also, the program may not be able to accurately extract information from resumes that have unusual layouts or formatting.

We welcome contributions to the Resume Parser project. If you find any bugs or have suggestions for improvement, please feel free to create an issue on our GitHub repository.

We would like to thank OpenAI for providing the training data used to develop the language model used in this project. We would also like to thank our mentors for their guidance and support throughout the development process.

Python 3.6 or higher Pip package manager Required python packages: PyPDF2 python-docx textract pandas spacy Usage

Please make sure to update tests as appropriate.

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