Know who's job-ready — before recruiters arrive
The Career Readiness Lab is the second half of OneKampas. Every student practises across five AI-generated, proctored tracks — configured course by course, so technical and non-technical cohorts are each measured on what actually matters for them.
Five assessment tracks, generated per student
Nothing is pulled from a fixed question bank. Every test is built around the student's branch, skills, projects and target role — so practice looks like the drive they're actually preparing for. Which of the five run at all is your call, course by course.
MCQ Technical
Domain questions generated around the student's branch, skills, projects and target role — never a static question bank.
Aptitude
Quantitative, logical and verbal reasoning in the shape campus recruiters actually test — with per-topic accuracy back.
Coding
A real coding environment in Python, Java, C++ or JavaScript. Submissions run against sample and hidden test cases and are graded on correctness, quality and complexity.
Communication
Spoken-English tasks recorded and scored against the CEFR scale (A1–C2) for fluency, pronunciation, grammar and vocabulary.
AI Interview
A voice-driven mock interview that speaks, listens and follows up — returning a recruiter-style verdict from Strong Hire to Not Yet.
Personalised, not generic
Each attempt is generated from the student's own career objective — target role, branch, skills and projects — and the difficulty adapts as they clear levels.
Figures shown are platform defaults; every value is configurable per institution.
Foundation → Intermediate → Advanced
Levels unlock as students clear them, so a weak student isn't thrown at product-company questions on day one — and a strong one isn't stuck repeating the basics.
Foundation
Where every student starts. Clears the basics of the track and unlocks the next level.
Intermediate
Campus-placement difficulty — the level most recruiters actually test at.
Advanced
Product-company depth, for students targeting the top of your cohort's offer range.
After every attempt the AI recommends the level to try next and explains why — students always know their next move, and staff never have to schedule practice by hand.
Scores you can put in front of a recruiter
An unproctored score is a guess. Every attempt runs auto-proctored end-to-end, and the integrity score travels with the result.
Pre-test system check
Browser, camera, microphone, fullscreen, internet and multiple-monitor checks must pass before an attempt can begin.
Identity & environment
A face capture ties the attempt to the student, and the environment is scored from camera and mic before the timer starts.
Live monitoring
Fullscreen enforcement, tab-switch and paste detection, and on-device face and phone detection throughout the attempt.
Weighted integrity score
Every violation is timestamped and weighted against a score that starts at 100. Repeat offenders are warned, then auto-submitted.
A report, not just a percentage
Each attempt is analysed the moment it's submitted — what the student got right, where they lost marks, and exactly what to work on next.
Every attempt returns a full analysis
Topic accuracy, difficulty and time behaviour, ranked strengths and weak areas, skill gaps, a sequenced learning plan and a career-match read — plus the recommended next level.
- Per-topic breakdown — Every attempt returns topic-by-topic accuracy, difficulty and time analysis — so a 62% becomes a specific list of what to fix.
- Strengths, gaps & a plan — Ranked strengths, weak areas, skill gaps and a sequenced learning plan, plus the level the student should attempt next.
- Student Employability Index — A 0–100 score, banded Excellent → Needs Focus, with placement-ready called at 65. It unlocks once a student has cleared every track enabled for their course at the same level — so an SEI always means the whole path was completed, never a partial average.
- Cohort analytics & export — Branch and batch views of SEI, placement-ready rate, CEFR bands and hire recommendations — exportable to CSV for review meetings.
A mock interview that answers back
The AI interviewer speaks the question, listens to the spoken answer, follows up, and closes with a recruiter-style verdict — competency by competency, with delivery metrics students can practise against.
- Voice-driven, question-by-question feedback
- Hire verdict across four bands, from Strong Hire to Not Yet
- Capped at three attempts by default, so the verdict means something
AI Mock Interview · Software Engineer
HireVerdict
10 questions · 5 phases · ~45 min
Competency breakdown
One employability number per student — and per cohort
This is where assessments stop being a student feature and start being a placement instrument. A student's index unlocks once they clear every track enabled for their course at the same level — so an SEI is evidence of a finished path, not a partial average.
See the whole batch before the season starts
Participation, average SEI, placement-ready rate and the students who need attention — sliced by branch and batch, with a printable scorecard behind every name.
- SEI banded Excellent → Needs Focus, placement-ready at 65
- Students still on the path show exactly which tracks remain
- Communication reported on the CEFR scale (A1–C2)
- Interview results carry a hire recommendation
- Full cohort export to CSV for review meetings
Technical and non-technical courses, measured on their own terms
An MBA cohort should never be scored on a coding round, and a CSE cohort shouldn't clear at the same bar as a first-year polytechnic batch. Every track is switched on, weighted and graded course by course.
The same five tracks, tuned per course
Turn a track off and it disappears from those students' path entirely — no half-finished coding tile on an MBA dashboard, and no coding score dragging down their employability index.
- Coding off for management, commerce, design and most science courses
- Per-track weighting so SEI means the right thing in each course
- Clearing score and integrity bar set per level on the score-gated tracks
- Retake cooldown and attempt caps tuned to how you want the cohort to practise
B.E. — Computer Engineering
All five tracks on
Coding and MCQ Technical weighted heaviest, so the index reflects what a software recruiter screens for.
MBA — Marketing
Coding off; four tracks on
Communication and Interview weighted heaviest, with spoken English reported on the CEFR scale rather than a percentage.
B.Sc. — Biotechnology
Coding off; domain-led
MCQ Technical generated around the student's own subjects and projects, not a CS question bank.
Illustrative setups — your courses, tracks and bars are configured with you during onboarding and changed whenever your policy does.
Platform default
Sensible campus-recruitment defaults every institution starts from — nothing to configure on day one.
Institution default
Your house rules. Set once and every course inherits them until it says otherwise.
Course override
The specific one wins. Technical and non-technical courses each get their own track mix, bars and weights.
Everything you can tune
Turn tracks on or off per course
A B.E. cohort runs all five tracks. An MBA, BBA, B.Com or design course can run Aptitude, Communication and Interview with Coding switched off entirely — students never see a track that isn't theirs.
Weight what matters
Each track carries its own weight in the employability index. Weight Coding heavily for CSE and Communication heavily for management, and the same SEI number means the right thing in both.
Your passing bar
Clearing score and minimum integrity are set per track and per level. Platform defaults are 70% (60% for the interview) with integrity at 60 — raise or lower them course by course.
Retakes & attempt caps
Retake cooldown days and maximum attempts per level are configurable — unlimited practice where you want volume, a hard cap where the score has to mean something.
Attempt alerts
Set the number of unsuccessful attempts after which your team is notified, so mentoring reaches a struggling student before the drive does.
Assign top-up rounds
Push an extra Technical, Aptitude, Coding or Communication assessment at a chosen level to everyone, to just the students who haven't cleared it, or to a hand-picked list — with a note and a due date.
Assessments are part of the platform — not a separate tool
The same student record carries the readiness score, the drive application and the offer. Nothing to reconcile.
See the Career Readiness Lab on your own cohort
Book a walkthrough and we'll run a live attempt end-to-end — generation, proctoring, report and the cohort view your TPO team would use.