Career intelligence
AI is not here because it sounds impressive. It is used for four specific early-career problems, and every result explains itself — so you can disagree with it.

Four things, done properly
A score for every open opportunity against your profile, with the reasons listed — which skills matched, whether the location works, and how it lines up with the directions you have said you want.
The skills that appear most often in the roles closest to your profile, split into what you already have and what is worth strengthening — with how many roles each one appears in.
A short, ordered list of what would change your outcomes most: the skill to add, the category where you match strongest, the project that is missing.
Questions built from your own projects and skills, each with what the question is actually testing — because the failure is rarely knowledge, it is an unclear explanation.

The principle
Technology should make opportunity more accessible. It should not make career decisions on behalf of students, and it should never be a black box that tells you what you cannot do.
Worked example
Product Intern · Chaitra Health
82%
Worth strengthening: Product Analytics, SQL
The scores are only useful once the profile is real. Build it, then look at what changes.