Resume Matcher – AI-Powered ATS
The AI-Powered ATS helps bridge the gap between job seekers and recruiters. By using advanced NLP, it doesn't just look for keywords; it understands the context of skills and experience to match candidates with the most relevant job descriptions.
Technology Stack
System Architecture
Parsing
spaCy and PyPDF2 for structured data extraction.
NLP
Word2Vec and Cosine Similarity for semantic matching.
Backend
Flask-based API for handling resume uploads and processing.
The Challenges
Handling various resume formats (PDF, DOCX, Images).
Understanding semantic similarity (e.g., 'React Developer' matching 'Frontend Engineer').
Ensuring fair and unbiased scoring.
The Solutions
Standardized all input formats into a clean text representation using robust OCR and parsing libraries.
Utilized pre-trained word embeddings to capture semantic relationships between different job titles.
Implemented a transparent scoring breakdown that highlights matching skills and missing gaps.
Key Results & Metrics
NLP-powered matching
ATS compatibility scoring
Recruiter workflow optimization