From CV Overload to Perfect Matches

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

PROJECT OVERVIEW

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

The team spent a significant amount of their time reviewing CVs instead of interviewing qualified candidates, often missing good matches due to volume overload.

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

TECHNOLOGY
Python, spaCy, Transformers, Natural Language Processing, Machine Learning, PostgreSQL, Redis, FastAPI, React, PDF Processing, Skills Extraction, Semantic Matching, Classification Algorithms

Client Goals and Objectives

01
Process CVs faster and handle large volumes automatically instead of manual screening.
02
Match candidates to jobs better with smart scoring and ranking systems.
03
Help recruiters spend more time interviewing good candidates instead of reviewing CVs.
04
Find qualified candidates that might be missed and make evaluation fair for everyone.
05
Ask smart pre-screening questions and schedule interviews automatically.
06
Work easily with existing HR systems and software already in use.

SOLUTION IN ACTION

Chat response with AI insights

Solution Architecture

Data Processing
and Storage
AI Agents Operation
Supporting
Infrastructure

Value and Impact Delivered

Faster Search

Cut search time by 85% from 45 minutes to 7 minutes per technical question.

System Accuracy

Achieved 98% accuracy in finding the right technical documents and giving correct answers.

Equipment Downtime

Greatly reduced equipment downtime through faster access to repair guides and maintenance steps.

Faster Training

Sped up new employee training by 60% with instant access to visual guides and procedures.

Better Quality

Reduced quality problems by making sure teams use current technical details and procedures.

Better Safety

Improved safety compliance with easy access to current safety rules and procedures.

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