TL.

04NLP · Psychometrics · HR Tech

TalentMap

Talent insights from candidate text.

Try the live demo
PROJECT OVERVIEW

A psychology-grounded system that infers interpretable personality traits and soft skills from candidate-written content, then maps affinities across a talent pool.

RESEARCHMODELPRODUCT

01 — THE CHALLENGE

A useful model starts with the right question.

CV keyword matching says little about how a person thinks or works. The objective was to structure richer talent signals while keeping the reasoning interpretable for human decision-makers.

Project anatomy

From candidate text to a psychometric talent map.

The system turns free text into a Big Five profile, positions it against a reference distribution and retrieves similar profiles from the talent pool.

Core pipeline

Select a step to understand how the data is transformed.
Selected step

The user enters or imports candidate content, then chooses the comparison depth and dimensions to explore.

NLP and HR decision supportBased on the current codebase · Simplified representation
From technology to use

Follow the journey from text to profile and map.

The experience stages candidate-text analysis, the five personality dimensions and the profile’s position among comparable talents.

Educational demonstration: data is local and some computations are simulated or accelerated.
01Interactive demonstration — analyse and map a profile

04 — OUTCOME AND IMPACT

A decision-support workflow that turns unstructured candidate language into comparable insights — without replacing human judgment.
NEXT PROJECT · 05DeepUX