AI Recruitment Intelligence System (Final/project)
Developed and integrated AI/NLP components for automated resume parsing and candidate ranking within an applicant tracking workflow. Focused on deriving candidate relevance scores using embeddings, similarity metrics, and logistic regression classification outputs. Supported end-to-end model-driven processing as part of a full application pipeline. • Parsed resumes into machine-readable form. • Ranked candidates using NLP embeddings and cosine similarity. • Applied logistic regression for classification/ranking logic. • Built the system with FastAPI and React integration for automated processing.