Smart Resume Matcher

Overview

The Smart Resume Analyzer & Job Matcher is a full-stack web application that automates parsing resumes and matching them to relevant job postings. It uses TF-IDF, Word2Vec, and Sentence-BERT embeddings to extract and encode skills, experience, and education, then leverages FAISS for sub-second cosine-similarity searches across indexed job descriptions. With configurable weighting for skills, experience, and education, it delivers real-time, data-driven match scores to help both job seekers and recruiters make better decisions.

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Technologies Used

• Backend: Python 3.9+ with Flask (or FastAPI)
• NLP Pipeline: spaCy, NLTK, Sentence-Transformers (all-mpnet-base-v2)
• Vector Search: FAISS for sub-second similarity queries
• Database: MongoDB for flexible storage of parsed data & embeddings
• Frontend: React.js with Material-UI for a responsive dashboard
• Text Extraction: PyPDF2 & python-docx for PDF/DOCX parsing

Other Contributors

• Ameya Kolhatkar
• Andrew Loh
• Faith Han