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SoftBlues
HR & Recruitment • AI Product Development

From CV Overload to Perfect Matches

CVSense

Complete recruitment automation with AI-powered CV analysis, candidate pre-screening, intelligent matching, and interview scheduling.

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0%
Faster Screening
0,000
CVs Monthly
0%
Match Accuracy
0%
Time Saved
Project Overview

A boutique tech recruitment company handling 5,000 CVs monthly struggled with time-consuming manual screening and inconsistent candidate evaluation.

The Challenge

The recruitment team was overwhelmed by CV volume, missing qualified candidates while spending excessive time on manual review.

  • Team spent majority of time reviewing CVs instead of interviewing qualified candidates
  • Inconsistent candidate evaluation leading to missed opportunities
  • Good candidates often overlooked due to sheer volume overload
  • Manual pre-screening and interview scheduling consuming recruiter bandwidth

Our Solution

Softblues built CVSense—an AI-powered platform that parses CVs, extracts skills, matches candidates to jobs, asks pre-screening questions, schedules interviews, and analyzes responses—helping recruiters hire faster and smarter.

  • Automated CV parsing with intelligent skills extraction and scoring
  • Smart candidate-to-job matching with customizable ranking criteria
  • AI-powered pre-screening questions tailored to each position
  • Integrated interview scheduling and candidate communication tools
Technology

Built with Enterprise-Grade Technology

PythonspaCyTransformersNatural Language ProcessingMachine LearningPostgreSQLRedisFastAPIReactPDF ProcessingSkills ExtractionSemantic MatchingClassification Algorithms
Client Goals

Goals and Objectives

The client came to us with clear objectives to transform their operations.

01

Automate CV Processing

Process CVs faster and handle large volumes automatically instead of manual screening

02

Intelligent Matching

Match candidates to jobs better with smart scoring and customizable ranking systems

03

Free Recruiter Time

Help recruiters spend more time interviewing good candidates instead of reviewing CVs

04

Fair Evaluation

Find qualified candidates that might be missed and make evaluation consistent for everyone

05

Automate Pre-Screening

Ask smart pre-screening questions and schedule interviews automatically

06

System Integration

Work easily with existing HR systems and software already in use

Solution in Action

See the Platform in Action

From intake to completion, explore how the solution transforms operations.

Job Position Setup with Ranking Criteria
01

Job Position Setup with Ranking Criteria

Define job requirements with intelligent ranking criteria. For each position like Senior Front-end Engineer, recruiters set required skills with experience thresholds—JavaScript 7 years, TypeScript 5 years, React 6 years, Unit Testing 3 years, and more. The system uses these criteria to automatically score and rank incoming candidates.

Candidates Ranking Dashboard
02

Candidates Ranking Dashboard

Compare candidates at a glance with the scoring matrix. Each candidate is automatically scored across all required skills (JavaScript, TypeScript, React, Unit Testing, Fintech experience, English level) with a total ranking out of 18 points. Recruiters can instantly identify top performers without manually reviewing every CV.

Detailed Candidate Profile
03

Detailed Candidate Profile

Deep-dive into individual candidates with AI-extracted insights. View professional summary, experience, current company, education, and detailed skill assessments with point scores. Action buttons enable quick workflows—send voice interview links, listen to recordings, ask additional questions, or send rejections—all from one screen.

Recruitment Pipeline Dashboard
04

Recruitment Pipeline Dashboard

Track your entire recruitment pipeline at a glance. Monitor total open positions, active candidates (526), scheduled interviews (47), and hires this month with trend indicators. The job listing table shows applied/interviewed/rejected/hired stats per position, enabling data-driven recruitment decisions.

Platform Architecture

How It All Works Together

1

Data Processing and Storage

Ingests CVs from multiple sources, parses PDF/DOCX formats, extracts structured data, and stores candidate profiles in PostgreSQL with Redis caching for fast retrieval.

2

AI Agents Operation

NLP-powered skill extraction using spaCy and Transformers, semantic matching algorithms that score candidates against job requirements, and classification models for experience level assessment.

3

Supporting Infrastructure

FastAPI backend serving React frontend, integration layer for ATS systems, automated communication workflows, and voice interview processing capabilities.

Results

Value and Impact Delivered

Measurable improvements across every dimension of operations.

85%

Faster Screening

Cut CV screening time by 85%—from hours of manual review to minutes of AI-assisted evaluation per batch.

98%

Match Accuracy

Achieved 98% accuracy in matching candidates to job requirements through intelligent skill extraction and scoring.

60%

Recruiter Time Saved

Recruiters now spend 60% more time interviewing qualified candidates instead of screening CVs.

Consistent Evaluation

Eliminated subjective bias with standardized scoring criteria applied equally to all candidates.

Automated Scheduling

Pre-screening questions and interview scheduling happen automatically, reducing coordination overhead.

Better Hiring Outcomes

Improved quality of hire by surfacing qualified candidates that would have been missed in manual review.

Ready to Transform Your HR & Recruitment Operations?

See how AI can help your organisation reduce errors, speed up processing, and improve outcomes. Let's discuss your specific challenges.

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15+
Years Experience
200+
Projects Delivered
$1M
Insurance Coverage
Success Stories

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