Final YearAdvancedAI/ML 3-4 months
AI-Powered Resume Screening System
A recruiter tool that parses resumes, matches them to a job description using NLP embeddings, and ranks candidates with explainable match scores.
PythonspaCySentence-TransformersFastAPIReactPostgreSQL
Find GitHub repos & source code →How to build it — step by step
- 1Parsing: Extract text and structured fields (skills, experience, education) from PDF/DOCX resumes.
- 2Matching: Embed resume and JD text; score similarity and weight by required skills.
- 3Explainability: Show matched/missing keywords and a per-section breakdown of the score.
- 4Workflow: Provide a ranked dashboard with filters, shortlisting, and export.
Key features to implement
- ✓Resume parsing (PDF/DOCX)
- ✓Semantic JD matching
- ✓Explainable match scores
- ✓Skill-gap highlighting
- ✓Recruiter dashboard
💡 Unique twist to stand out
Add bias auditing that checks whether scores correlate with name/gender proxies and reports fairness metrics.
🎓 What you'll learn
NLP embeddings, document parsing, ranking, explainability, and fairness evaluation.