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Traditional CV vs InTransparency

A CV says what you want to prove. We show what you've actually built.

On a traditional CV, skills are self-declared and impossible to verify quickly. On InTransparency, every skill is AI-extracted from the student's real projects, with the source evidence attached.

Traditional CV (PDF)

Sara Bianchi

Biotech graduate

Skills

  • • Python
  • • R
  • • Bioinformatica
  • • Lavoro di squadra
  • • Problem solving

What the recruiter sees

"Can I trust this? Does she actually know Python or just 'hello world'?"
InTransparency · Verified portfolio
SB

Sara Bianchi

ITS Academy Biotech For Life · Verified

Skills extracted from real artifacts

  • Pythonfrom analysis.py + 2 more files
  • Rfrom statistics.R
  • Bioinformaticsfrom thesis_chapter3.pdf
  • GLP / Labfrom lab_protocol.docx
  • Teamworkfrom Self-Discovery + project description

What the recruiter sees

"AI analyzed 8 files, extracted 12 skills, ITS Academy verified."

In a single line

Traditional CVInTransparency
Source of skillsSelf-declaredAI-extracted from real files
VerifiabilityNo proofFile-per-skill, source link
Proficiency levelNot indicatedInferred from artifact analysis (0–4)
Human validationNoneCareer office stamp + optional professor endorsement
AI Act complianceN/AAudit log + data provenance
Soft skillsVague lists ("teamwork")Self-Discovery + project descriptions

Back your CV with evidence.

Upload your real projects. Our AI extracts the skills. Companies see the evidence.