A certificate is only worth something if the grading behind it is worth something. So here is exactly how ProoV evaluates the work you submit, what the AI looks at, how the score is built, and why the resulting certificate is something a recruiter can trust.
It starts with a real brief
Every ProoV project is a company-style brief built on real data. Before you are scored on anything, you are doing authentic work: exploring a dataset, engineering features, building and validating a model, and communicating a recommendation, the same shape of task a working professional would be handed.
These briefs are expert-designed scenarios. To be clear about what that means: unless a formal programme states otherwise, projects are ProoV-created realistic scenarios, we do not use company logos or imply official partnerships. The work is real; the framing is ours.
Evaluation against a transparent, weighted rubric
When you submit, your work is evaluated by an AI evaluator against a published rubric: the same criteria, applied the same way, for everyone. A data-science project, for example, is scored across weighted dimensions such as:
- Exploratory data analysis: did you understand the data before modelling it?
- Feature engineering: did you prepare inputs that help?
- Model building: is the approach sound, validated, and appropriate?
- Business communication: can you explain what you did and why it matters?
Each criterion carries its own weight toward the final score, because that is how a hiring team reads work: a great model with no explanation is not a great submission, and a beautiful write-up over a broken analysis is not either.
You get a scorecard, not just a grade
A single number tells you almost nothing. So ProoV returns a scorecard that breaks down how you performed on each criterion. That means you can see precisely where you were strong and where to improve, and your next attempt is informed, not a guess.
Why the certificate is trustworthy
Pass the project and you earn a verified certificate with a public verification page tied to the exact project you completed and the date you finished it. Anyone, a recruiter, an admissions officer, a hiring manager, can confirm it is genuine.
Two design choices make this credible:
- The same rubric for everyone. Scores are not a matter of opinion on the day; they come from defined, published criteria.
- Independent verifiability. The credential is checkable, so it cannot be faked or inflated.
That is the difference between a participation badge and proof. A badge says you showed up; a verified ProoV certificate says you did the work and it met a standard.
How it compares
Many "virtual experience" programs are self-graded, you compare your answer to a model solution and mark your own completion. That is fine for learning, but it is not evidence. ProoV's evaluation is independent and criteria-based, which is what makes the output usable as proof. (More on that in what is virtual work experience.)
Ready to see it in practice? Pick a project, do the work, and read your scorecard.