AI-Powered Semantic Resume Screening Platform
Built an AI-driven platform using Python, Flask, NLP, SBERT embeddings, and cosine similarity to parse resumes and rank candidates against job descriptions. Engineered preprocessing pipelines to extract and normalize text from PDF and DOCX files for multi-format document ingestion. Implemented match categorization and similarity scoring to present transparent candidate-evaluation results.

