Primary workflow
Upload a candidate resume
This is the starting point of the pipeline: upload the resume, then we parse, normalize, match, and prepare interview questions.
Uploaded resumes
2
Every card below is derived from the uploaded resume records in the database.
Latest semantic score
44%
Vraj Resume.pdf · Sep 24, 2026, 06:45 AM
Ready for review
0
Reviewed candidates: 1. Extracted skills: 3.
Pipeline progress
The visible stages below come directly from the latest uploaded resume and its extracted text.
Uploaded resumes
Each row is calculated from the uploaded resume text, filename, and role details.
| Candidate | Score | Readiness | Skills | Top Gap |
|---|---|---|---|---|
Vraj Ramavat Vraj Resume.pdf Computer Engineer | 36% overall Tech 49.181395839231115% · Exp 15% · Sem 44% | Watchlist | No skills extracted yet | Need more role-specific evidence |
Vraj Ramavat Vraj Ramavat Resume(1).pdf Computer Engineer | 61% overall Tech 100% · Exp 15% · Sem 67% | Review | React, Next.js, JavaScript | Needs stronger evidence for React |
Interview intelligence
These questions come from the actual gaps and skills found in the latest uploaded resume.
Experience
No explicit years detected
Education
Not stated
How does your background prepare you for the Computer Engineer role?
Audit trail
The steps below are generated from the uploaded resume analysis, not from canned data.
Parsed Vraj Resume.pdf into structured resume data
Normalized 0 skill signals from the uploaded resume
Computed embedding similarity against the target role description
Matched 0 role signals against the provided target role
Prepared 1 interview questions from the actual upload