One AI interviewer.
Two placement outcomes.
The same proctored AI assessment that trains your students all semester becomes the verified batch credential that brings companies to your campus. Explore both sides of the engine.
Same rubric as Sharedpro professional hiring · Backed by IIM Ahmedabad & 100X.VC
Training and placement were never two problems.
Every proctored interview your students take to improve also provides the evidence a visiting company needs to trust your batch. One assessment engine, two audiences, and nothing done twice.
An AI interviewer that coaches
Adaptive interviews with live coding, followed by a report built to be acted on.
- ✓Answer-quality timelines: the exact minute a score dropped and how to lift it
- ✓Improvement plans sized in evenings, each with a 15-minute re-assessment
- ✓CV repair from verified evidence: add what they proved and cut what they can't defend
- ✓Ask-the-report chat: highlight any score and explore it privately in depth
A batch they can filter, not guess
Your placement pitch becomes a verified dataset instead of a brochure.
- ✓Batch snapshot: placement-ready counts by role in one shareable link
- ✓Shortlists before the visit: recruiters filter by verified role readiness
- ✓Integrity companies trust: ID-verified, proctored, and checked for assisted answers
- ✓The same rubric Sharedpro uses to place professionals with its client network
One interview, honestly re-read for each role a company brings.
A student isn't "a 68." She's placement-ready for backend work and developing for analyst roles, and the report says so. Click a role.
Verified Python depth with a working project demonstrated live. SQL performance is the one gap between her and the 80+ band.
Our own vision model coaches the part transcripts can't see.
Sharedpro's proprietary expression model reads 48 facial signals, frame by frame, using the same technology behind our Expression Measurement API. In Campus, it has exactly one job: showing each student how they come across on camera, where tension appears during a follow-up question, and how they recover within seconds. It privately coaches the interview skill nobody teaches, on every attempt.
Built & trained in-house · not an API wrapperWhy colleges can say yes to this
- Visible only to the student. Delivery feedback never appears in any recruiter or institute view.
- Never scored. Readiness is judged from what was said, coded, and built, never from the face.
- Coaching, not judgment. Every observation is paired with a fix and identifies recovery as a strength.
Same model, standalone: Sharedpro Expression Measurement API →
From first assessment to a full placement drive.
Four steps, one rising staircase. Click a step or a block to walk through the semester.
Assess the batch
Every student takes a proctored, adaptive AI interview with live coding. ID-verified, no scheduling burden on your cell.
Coach, all semester
Each student gets a plan ranked by placement impact, CV fixes from verified evidence, and a private report chat.
Re-verify the gaps
15-minute delta re-assessments update the score recruiters see. With best-attempt scoring, practice can only help.
Showcase the batch
The batch snapshot goes to companies: placement-ready counts by role, filterable shortlists, verified trajectories.
What your T&P cell gets, without extra headcount.
Batch dashboard
See readiness by department and role, semester over semester, and identify who's drive-ready at a glance.
NAAC / NBA-ready exports
Placement-preparedness evidence formatted for accreditation reporting, one click.
Mock placement drives
Simulate a company visit end-to-end, with AI interviews, full reports for every student, and a batch debrief for you.
Recruiter-share links
Every report has a company-safe view. Coaching stays private, while the credential travels.
Run a free mock placement drive with one final-year batch.
We assess the batch, every student gets a full readiness report, and your cell gets the batch snapshot with a season plan. If it doesn't sharpen your placement pitch, it cost you nothing.
Pilot window: Jul–Aug 2026 · Vadodara-based team · onboarding in under a week