Build a CV Parser using NLP – Moyyn

Build a CV parser to extract data via NLP.

About the project:

The goal of this project is to build a CV parser that can extract key information such as work experience, education, skills, and contact details from a wide variety of CV formats (PDF, Word, etc.). The CV parser will use Natural Language Processing (NLP) techniques and machine learning models to automate the extraction of structured information from unstructured text. This will enable GATE Bootcamps to process candidate resumes more efficiently, assess applicants, and match them with relevant bootcamps or job opportunities.

The parser will handle CVs with different layouts and structures, ensuring that relevant fields like name, contact information, education, skills, experience, and certifications are accurately extracted.

About the company:

Moyyn is a recruitment tech company that offers AI-powered solutions to streamline the hiring process. Their platform helps businesses and recruiters automate various tasks in recruitment, such as candidate sourcing, screening, and engagement, using artificial intelligence and machine learning. Moyyn’s technology enables faster, more efficient hiring by matching candidates with job openings based on their skills, experience, and qualifications. Additionally, it provides tools to enhance candidate experience and reduce the manual workload for recruiters. They often cater to startups, small and medium-sized enterprises (SMEs), and large companies looking to improve their recruitment workflows and discover the best talent more efficiently.

Tools you will learn and work with:
– Python
– Microsoft Excel
– ChatGPT
– NLP Techniques

Please Provide Feedback here!