Build an automated résumé screening system that parses PDF and DOCX files, extracts skills and keywords, and ranks candidates using a weighted scoring algorithm. The tutorial covers text extraction from documents, keyword matching against a skills taxonomy, implementing a scoring engine with configurable weights (50% required skills, 25% preferred skills, 15% experience, 10% keywords), creating a Streamlit web interface, and deploying to Streamlit Cloud. The system processes hundreds of résumés in seconds and promotes objective evaluation by applying consistent criteria across all candidates.
Table of contents
Table of ContentsPrerequisitesProject OverviewHow the System WorksSystem ArchitectureProject StructureStep 1: Set Up the ProjectStep 2: Build the Résumé ParserStep 3: Build the Keyword ExtractorStep 4: Implement the Scoring EngineStep 5: Build the Web InterfaceStep 6: Test the SystemStep 7: Deploy the ApplicationConclusionSort: