29. 👤 Resume Ranker

Overview

An AI-powered service that compares candidate resumes to job descriptions by computing semantic similarity and highlighting missing skills or experience gaps.

Primary Use Cases

• Recruiters quickly shortlist top candidates
• Job seekers evaluating their fit for roles
• HR teams standardizing candidate ranking

Key Features

• Upload resumes (PDF/Word) and job description text
• Semantic matching: scores and ranks candidates
• Gap analysis: lists missing keywords and suggested skills
• Dashboard: sortable list by score, tags for auto-rejection

Tech Stack

• Frontend: React + TypeScript + Tailwind for upload UI and results dashboard
• Backend: FastAPI (Python); Go microservice for batch ranking
• AI Models:
  • Embeddings: sentence-transformers/all-MiniLM-L6-v2
  • Similarity & classification: fine-tuned distilbert-base-uncased
• Database: PostgreSQL for storing candidate profiles and results

Architecture

1. Ingest Service: parse resumes → extract text (python-docx, pdfplumber)
2. Embedding Service: compute embeddings for resume and JD