Stage 5 · Placements

PlaceCom

An AI-powered campus placement office: employers post roles, students are auto-matched on NSQF/SSC rubrics, drives run virtually, and accreditation analytics generate themselves — year-round.

Platform note

PlaceCom is the AI campus placement system that turns placements from a three-month scramble into a year-round operation. A handful of TPOs cannot manually rank thousands of profiles against hundreds of roles, coordinate recruiters and still produce the analytics accreditation demands — so good students get missed and good employers go elsewhere. PlaceCom, built on Gemini Enterprise on Google Cloud, is an intelligent talent marketplace: employers post roles, students are auto-matched on NSQF and SSC rubrics, virtual job fairs and drives are scheduled automatically, and every student carries a readiness score that shows exactly what to improve. Industry relationships and alumni re-engagement are managed in one place, and placement outcomes flow straight into NAAC-ready analytics. The result is higher match accuracy, dramatically less administrative time, and the proof that AI improves university placements — measurably, and continuously rather than seasonally.

Capabilities

An AI placement office that never closes.

A talent marketplace, virtual drives and accreditation analytics — working as one system, all year.

AI talent marketplace

Employers post roles; students are surfaced and ranked automatically — a living, two-sided marketplace.

NSQF / SSC rubric matching

Matches candidates to roles on national skill rubrics, not keyword guesswork — fair, explainable fit.

Virtual job fairs

Run full virtual job fairs and drives at scale — no auditorium, no travel, no calendar gridlock.

Recruiter workflow automation

Drive scheduling, invitations, status tracking and follow-ups — the admin runs itself.

Profile readiness scoring

Each student gets a readiness score and a clear path to becoming interview-ready.

RM, alumni & NAAC analytics

Industry relationship management, alumni re-engagement and placement analytics output for accreditation.

How it works

From posted role to reported outcome.

1
Step 1

Employer posts a role

A recruiter posts requirements; PlaceCom structures them against skill rubrics instantly.

Role: SDE-I @ Amazon
Rubric: NSQF L6 · DSA + comms
2
Step 2

AI matches students on rubric

Candidates are auto-ranked by explainable fit, with readiness scores attached.

4 matches ≥85% fit
Priya M. — coding 62%, verbal 65%
3
Step 3

Virtual drive scheduled

A virtual drive is scheduled, candidates invited and the recruiter workflow automated end-to-end.

Drive: Friday 10 AM
12 invited · recruiter confirmed
4
Step 4

Outcomes reported for accreditation

Offers and placement rates flow straight into NAAC-ready analytics.

Placed: 9/12 · avg 11LPA
NAAC analytics → auto-updated
AI in action

A role, matched and scheduled in one thread.

Placements, run like a marketplace.

PlaceCom reads a new role, surfaces rubric-verified matches with readiness scores, and schedules a virtual drive — compressing what used to take a week of coordination into a single conversation.

  • Auto-match students to employers on NSQF/SSC rubrics
  • Run virtual job fairs and automate recruiter workflows
  • Readiness scoring plus accreditation analytics, year-round
PlaceCom MarketplaceMatching candidates
New role: SDE-I @ Amazon · 4 matches above 85% fit on NSQF rubric.
Priya M. — mock best 67%, coding 62%, verbal 65%. Flagged: ready for interview round.
Schedule a virtual drive for Friday.
Open PlaceCom
Outcomes

What PlaceCom moves on campus.

85%
Match accuracy
60%
Admin time
Year-round
Not seasonal
Continue the journey

Where this leads next.

Every module hands off to the next, so intelligence compounds across the whole lifecycle.

The next step

Let's make your campus the one that moved first.

A 2-hour Discovery Workshop with your stakeholders, Google and UniAI — we identify your top 3 use-cases and map a 90-day path to production.

No commitment · Your stakeholders + Google + UniAI · 2 hours