Project · AI and web app
CV Manager: turning CVs into a searchable database
A management tool built for HR companies and organisations that recruit at scale. AI reads the uploaded CVs, extracts the data — contact details, skills, certifications, work experience — and organises it in a structured database. Recruiters stop opening files one by one and start searching.
CV Manager
The interface is in Italian, the language of the team that uses it.
The problem
Hundreds of CVs, each in a different format
Recruiters receive CVs in PDF and Word, laid out in a thousand ways. Finding the right profile means opening them, reading them and remembering who knew what. The information is all there, but it can't be searched: the more the volume grows, the more the job becomes reading instead of selecting.
How it works
Three steps, from file to search
CV Manager
01 · Upload
CVs go in exactly as they arrive
The recruiter drags the files into the upload window, as PDF or Word, up to ten at a time. No forms to fill in, no format to follow: the CV stays the one the candidate sent.
CV Manager
02 · Extract
AI reads it and puts every detail in its place
From each CV the system extracts contact details, years of experience, certifications and skills, and sorts them by category: role, tools, databases, programming languages, platforms, operating systems. Next to them sit fields for the contract position and the recruiter's notes.
CV Manager
03 · Search
Search by skill, not by file
Every profile lands in a table with filters on each field: city, tools, databases, languages, platforms, years of experience, current and expected salary, date of last contact. “Who knows Kubernetes and has at least five years of experience” becomes a search, not an afternoon.
What goes into the database
Every profile, always with the same structure
The value isn't reading one CV, it's that every CV becomes comparable. Same fields, same names, same categories: that's what makes filtering possible.
01
Contact and personal details
Name, email, mobile, city, date of birth.
02
Experience
Years of experience, role, work history, certifications.
03
Skills by category
Tools, databases, languages, platforms and operating systems, each one filterable.
04
Contract position
Current and expected contract and salary, notice period, expiry, last contact and notes.
The system is built with Python, AngularJS and React, and all data is stored securely in a structured database, designed to stay fast as the number of profiles grows.
Start getting results for your business
Tell us about your project: we reply within 24 hours, no strings attached.