Ai Resume Screening & Ranking Tool

Project
Background

AI-Powered Resume Screening & Candidate Ranking System

Intelligent recruitment automation for faster, unbiased, and data-driven hiring decisions.

Problem Statement

Recruiters often face challenges managing high volumes of resumes while ensuring fair and accurate candidate evaluation. Manual screening is time-consuming, inconsistent, and prone to unconscious bias, slowing down the hiring process and impacting candidate quality.

Solution Overview

The AI-powered Resume Screening system automates resume parsing, skill extraction, and candidate ranking using natural language processing and machine learning. It enables recruiters to quickly identify the most relevant candidates based on job requirements while maintaining consistency and reducing bias.

Key Features

Recruiter Features

  • • Bulk resume upload (PDF / DOCX)
  • • Automated resume parsing
  • • AI-based candidate ranking
  • • Skill match percentage

Admin Features

  • • Job description management
  • • Custom scoring rules
  • • Bias reduction filters
  • • Export shortlisted candidates

System Architecture

Resume Upload
      |
      v
Resume Parser (NLP)
      |
      v
Skill & Experience Extraction
      |
      v
AI Matching & Scoring Engine
      |
      v
Ranking Algorithm
      |
      v
Recruiter Dashboard

Technology Stack

AI / NLP

Python, spaCy, Transformer-based NLP models, Resume Parsing Libraries

Machine Learning

Scikit-learn, Ranking Algorithms, Feature Engineering

Backend

FastAPI or Node.js, REST APIs, File Processing Services

Frontend

HTML, Tailwind CSS, Recruiter Dashboard UI

Data Storage

PostgreSQL, Document Storage, Search Indexing

Use Cases

  • • HR Teams
  • • Recruitment Agencies
  • • IT Companies
  • • Startups
  • • Enterprises
  • • Remote Hiring

Business Impact

  • Up to 70% faster hiring process
  • Reduced recruiter workload
  • Improved candidate-job matching
  • Consistent and unbiased screening