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AI Tool for Resume Pre-Screening

Overview

Project information

Leveraging the expertise of CodeIT’s AI department, our team has developed an advanced tool that runs automated resume pre-screening. The AI-driven software helps select the best-matching candidates by assigning a score for each resume. The integration with an HRM platform enables recruiters to use a single system for all their operations, getting access to the following features:

  • Bulk CV analysis. Collects and pre-screens multiple CVs in minutes with LLM automation.
  • Skill matching. Uses AI to identify job requirements and select best-matching candidates.
  • CV scoring. Uses AI to score resumes based on job fit, highlighting key strengths.

Problems Solved

Using the AI tool, CodeIT recruiters can get all resumes assessed in bulk in minutes. It helps pick the right candidates fast by resolving the following challenges:

  • Manual workload. Recruiters manually review countless applications per job opening.
  • Time constraints. Talent acquisition specialists struggle with in-depth CV analysis due to high volume.
  • Lack of integration. Isolated systems force manual CV collection and database entry.
  • Matching challenges. Limited review time increases the risk of missing ideal candidates.

Implementation

With features defined by a business analyst (BA), CodeIT specialists developed a Python app, integrated an LLM, and linked it to an HRM system for enhanced functionality.

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Requirements identification

CodeIT’s BA expert engaged with stakeholders and conducted comprehensive market research to gather critical insights. The specialist identified all project requirements, including technical specifications, and provided a detailed breakdown of the necessary features for future development.

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UI/UX design

Our specialist conducted a comprehensive assessment of the provided requirements and developed detailed wireframes along with a user-friendly UI design for the application. The design was thoroughly reviewed and validated by stakeholders, incorporating feedback and updates based on the received change requests.

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Python app development

A software engineer developed a custom application based on the provided requirements. Additionally, he created tailored instructions for the AI agent and built a seamless integration with a human resource management (HRM) tool.

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LLM integration

Our AI specialists thoroughly analyzed existing LLMs and evaluated their capabilities. He selected the most suitable model and seamlessly integrated it into the CV pre-screening and scoring applications for efficient resume analysis and evaluation.

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Instructions creation

We developed custom instructions for the AI tool to analyze job descriptions and resume content. Additionally, our specialist implemented a tailored scoring formula that prioritizes technical skill matching when evaluating CVs.

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App integration

CodeIT software engineers built a custom integration that seamlessly connects the application with the human resource management (HRM) system for automated resume collection. As a result, recruiters no longer need to utilize isolated solutions.

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    Solutions developed

    The AI-powered resume assessment and scoring tool offers a wide range of advanced features that enable recruiters to streamline their workflow and quickly identify top talent.

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    CV Collection

    Using the developed integration, all the resumes submitted to the all-in-one HRM platform can be automatically accessed by the AI tool, delivering the following benefits:

    • Automated workflow
    • No manual CV import/export
    • No missing resumes
    • No CV analysis delays
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    Resume Analysis

    The software’s core functionality is powered by an LLM, enabling it to perform a thorough CV assessment and accurately analyze the match between candidate skills and job requirements using custom instructions.

    • Job requirements identification
    • Resume review, following custom instructions
    • Information summarization
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    Scoring and Reasoning

    The scoring system efficiently identifies the best-matching candidates for each position. It provides reasoning for each score assigned and prioritizes applicants with strong technical skills using a custom formula.

    • Custom formula score
    • Individual score per requirement
    • Criteria evaluation (e.g., English, job hopping)
    • Score breakdown with details

    Result

    AI-powered tool for automated candidate scoring and selecting

    Guided by the AI department, CodeIT’s specialists have developed an advanced tool that streamlines the company’s talent sourcing and hiring processes.

    The tool automatically collects and analyzes CVs in bulk, assigning scores based on specific job requirements.

    The key measurable achievements of the software implementation are as follows:

    • 30% cut in cost-per-hire
    • 90% reduction in resume review time 
    • 88% increase in time-to-hire 

    Project Details

    Services
    • Business analysis
    • Generative AI development
    • Custom software development
    • UI/UX design
    • API development and integration
    • Architecture consulting
    Team
    • Python developer
    • Business analyst
    • UI/UX designer
    Technology stack
    • Python
    • Large language model (LLM)

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