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Description:
We propose the development of a resume parser using Python. This project aims to create a tool that can extract relevant information from resumes in various formats (such as PDF, DOCX, and TXT) and store it in a structured format.
Features:
File Format Support: Parse resumes from popular formats like PDF, DOCX, and TXT.
Information Extraction: Extract key information such as name, contact details, education, work experience, skills, and certifications.
Data Structuring: Store extracted data in a structured format like JSON or CSV.
Keyword Extraction: Implement algorithms to identify and extract relevant keywords or phrases.
Language Agnostic: Ensure compatibility with resumes in multiple languages.
Customization: Allow users to customize parsing rules and prioritize specific sections.
Error Handling: Handle parsing errors gracefully and provide informative error messages.
Implementation:
Set up project structure and version control.
Research and select suitable libraries for parsing different file formats.
Implement parsers for PDF, DOCX, and TXT files.
Develop algorithms for information extraction and keyword identification.
Design data structures for storing parsed information.
Create a command-line or GUI interface for users to interact with the parser.
Test extensively with various resume formats and languages.
Atharv714
commented
3 months ago
Description: We propose the development of a resume parser using Python. This project aims to create a tool that can extract relevant information from resumes in various formats (such as PDF, DOCX, and TXT) and store it in a structured format.
Features:
Implementation: