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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, each skill sits next to the project it came from and carries a label saying how far it has been checked — self-reported, AI-extracted from the student's real projects, or evaluated by a teacher.

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 evidence

  • Pythonfrom the genomics project
  • Rfrom the statistics coursework
  • Bioinformaticsfrom the thesis
  • GLP / Labfrom the lab internship report
  • Teamworkfrom Self-Discovery + project description

What the recruiter sees

"AI analyzed 8 files, extracted 12 skills, a teacher evaluated the thesis."

In a single line

Traditional CVInTransparency
Source of skillsSelf-declaredAI-extracted from real files, or labelled self-reported
VerifiabilityNo proofShows the project and the files it was read from
Proficiency levelNot indicated0–4: the AI reading sets the entry level, a human signal raises it — teacher evaluation, stage evaluation
Human validationNoneCareer office stamp + optional teacher evaluation
Traceability of the assessmentN/AEvery skill traced to the project it came from, and labelled verified, AI-extracted or self-reported.
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.