This project focuses on developing an AI-driven resume screening system that automatically analyzes resumes and matches candidates to job descriptions using machine learning and NLP techniques, significantly reducing manual effort in recruitment processes.
Collect sample resumes and job descriptions Apply Natural Language Processing for text extraction and cleaning Convert textual data into numerical vectors using TF-IDF or embeddings Train machine learning models for resume classification and ranking Implement similarity matching algorithms between resumes and job profiles Evaluate system accuracy using relevance scores Develop a user interface for HR personnel Enable resume upload and job posting features Generate ranked candidate recommendations Implement secure data handling and storage Conduct system testing and performance validation Prepare detailed project documentation and flow diagrams
