AI-Powered Resume Scanner & Scoring System
SonalY Jain
Published
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Built an intelligent resume screening engine that automates candidate evaluation using semantic AI.
▸ Engineered a multi-stage parsing pipeline using GPT-based LLMs, spaCy NLP, and FAISS vector search to extract and semantically match skills, experience, and qualifications from PDF/DOCX resumes
▸ Implemented relevance scoring algorithm that ranks candidates against job descriptions with high accuracy
▸ Reduced manual recruiter screening time by 70% through automated ranking and skill-gap identification
▸ Designed a clean REST API interface via FastAPI for easy integration into existing HR workflows