ATS Check & Score
Students upload a resume and receive a structured check against hiring-system expectations. The score gives them a clear starting point before they tailor an application.
Scored on upload
Placement readiness, measured — not guessed.
AI-driven interview preparation and readiness analytics, built for college placement teams and training providers.
5×
growth in mock interview completions, month over month, in our first live cohort
+15%
average score gain for students who return for a second interview
100%
of completed interviews scored with structured, individual feedback
Most placement cells don't lack content. They lack visibility.
Students can find practice questions anywhere. The actual placement bottleneck is knowing which students are ready, and where to spend limited training time — before it shows up in a real interview room.
What students use to prepare
Five tools, one flow — from a first resume upload to a scored mock interview, each step feeding the next.
Company Intel
Students get a focused brief on the company, role, culture, and likely interview context. Research becomes a repeatable preparation step rather than an open-ended search.
6 sections per company
CV Suggestions
PrepBud compares the resume with a specific role and highlights concrete gaps. Students can strengthen relevance without losing the experience and voice already on the page.
Matched per application
Coach
Students work through role-aware prompts and develop stronger examples before speaking them aloud. The format keeps preparation practical and tied to likely interview questions.
Question & answer format
Mock Interview
Students complete a structured interview that follows the role and their own experience. Every completed attempt ends with a score out of ten and written feedback they can act on before trying again.
Structured score + written feedback, every attempt
What your placement team actually sees
Not a static report — a live dashboard your team opens whenever they need it.
illustrative live view
Active students
248
+18 this month
Interview attempts
516
+24% vs prior period
Average score
7.4
+0.8 over 90 days
Returning students
61%
+9 percentage points
Requests over time
Feature activity by week
InterviewATSCV
W1W2W3W4W5W6W7W8
Readiness by department
Average interview score, out of 10
Computer Science8.1
Commerce7.4
Electronics6.9
Management6.5
Individual student analytics
Attempts, recent activity, score movement, and readiness in one view.
| Student ID | Department | Last active | Attempts | Current score | Improvement | Readiness |
|---|---|---|---|---|---|---|
| MOP-1042 | Computer Science | Today | 5 | 8.4 | +1.6 | Ready |
| MOP-1087 | Commerce | Yesterday | 3 | 7.6 | +0.9 | Progressing |
| MOP-1121 | Electronics | 3 days ago | 2 | 6.8 | +0.5 | Progressing |
| MOP-1164 | Management | 16 days ago | 1 | 5.9 | — | Needs attention |
Cohort readiness
See how interview participation and average scores move across the cohort.
Department breakdowns
Compare engagement and readiness without combining unlike student groups.
Individual trends
Open a student’s history to see attempts, scores, and progress over time.
No status requests
Give placement teams a current view without asking students or trainers for updates.
How a rollout works.
01
We talk
Share the cohort, departments, timeline, and the outcomes your placement team needs to track.
02
Accounts provisioned
We prepare credential-based access for the students and staff included in the rollout.
03
Cohort goes live
Students begin with their resume and move through company research, matching, coaching, and mock interviews.
04
Your team gets the dashboard
Placement staff can follow adoption, readiness, and individual progress as activity builds.
From a live pilot
Adoption, not just access, drives outcomes.
One women's college in South India piloted PrepBud with a single cohort. Within two months, mock interview completions grew 5×, and students who returned for a second attempt improved their average score by 15%. The pattern held strongest in departments where a faculty member actively encouraged weekly practice — evidence that engagement, not just availability, is what moves the needle.
How student data is handled.
Credential-based access
Students and staff enter with accounts provisioned for their institution or training cohort.
No third-party sharing
Student information is used to provide the PrepBud experience and is not sold or shared for third-party marketing.
Scoped visibility
Placement teams see the students and departments assigned to their organization; students see their own preparation history.
Have specific requirements?
Talk to us about access, retention, or rollout requirements before a cohort goes live.
Practice. Measure. Place.
Let's talk about your cohort.
Tell us what you are preparing students for and how your placement or training team works today.