Turn student evidence into explainable placement decisions.
VeriAI brings resumes, marksheets, GitHub, and coding-platform evidence into one structured profile, helping placement teams verify eligibility, understand readiness, and create transparent shortlists.
Single-college placement workspace · Verified transcripts & code evidence · Zero black-box ranking
Designed for Campus Ecosystems
Two perspectives. One trusted evidence pipeline.
VeriAI connects student readiness with placement office decision-making through transparent, auditable profiles.
For Students
Understand your placement readiness, strengthen your evidence, and see practical next steps before the next opportunity.
- Consolidate resumes, marksheets, GitHub, and LeetCode into one auditable profile.
- Receive deterministic skill extraction and practical guidance on missing proficiencies.
- Verify academic credentials once with encrypted, private document storage.
For Placement Teams
Verify academic eligibility, review coding evidence, and build explainable shortlists from a job description.
- Enforce marksheet-verified CGPA and backlog rules over unverified self-claims.
- Parse job descriptions instantly and rank candidates with clear matched vs. missing criteria.
- Export audit-ready shortlists in CSV format for visiting recruiting teams.
Workflow Overview
How VeriAI Works
A structured four-stage pipeline from primary document submission to audit-proof candidate shortlists.
Collect evidence
Students submit resumes, marksheets, and coding-profile details.
Verify and analyze
VeriAI extracts skills, analyzes coding evidence, and uses marksheet data as the academic source of truth.
Match to opportunities
TPOs add a job description and receive ranked candidates with transparent match evidence.
Guide improvement
Students receive readiness signals and practical actions to improve.
Verification Integrity
Not just resume keywords.
VeriAI replaces speculative resume scans with multi-source proof across academic transcripts, live codebases, and deterministic criteria.
Verified academics
Marksheet-derived CGPA takes priority over self-reported values.
Automated OCR extracts cumulative CGPA and active backlog count directly from university marksheets, rejecting manual inflation.
Coding evidence
GitHub and LeetCode data add practical technical context.
Inspects public repositories, commit patterns, and algorithmic problem solve distributions rather than taking claimed skills on faith.
Explainable matching
Every shortlist shows matched skills, missing skills, and eligibility evidence.
TPOs and recruiters get transparent reason codes for why each candidate is placed in rank order—no black-box scoring.
Private document handling
Student documents are stored privately with controlled access.
Academic records and resumes reside in private AWS S3 storage, accessible only via time-bounded HMAC signed tokens.
Infrastructure & Security
Built with a practical, secure cloud foundation.
Engineered with dedicated cloud primitives on Amazon Web Services to guarantee private document storage, isolation, and reliable placement execution.
Next.js Frontend
App Router client serving student portals, TPO console, and real-time candidate search views with client-side token management.
Amazon API Gateway
Single secure ingress point managing request routing, authentication header verification, and rate limiting.
FastAPI on Amazon EC2
Dedicated microservices handling PDF OCR parsing, GitHub evidence analysis, and deterministic candidate ranking.
PostgreSQL Database
Relational schema storing structured candidate records, placement drives, historical batch results, and audit trails.
Private Amazon S3 Storage
Academic marksheets and student resumes reside in a strictly private AWS S3 bucket. Access is granted only via server-signed, time-bounded tokens with zero public bucket endpoints.
AWS IAM Controlled Access
Application roles follow the principle of least privilege. Backend execution nodes have restricted, role-bound permissions to read and write document prefixes with no shared root credentials.
Product Stage & Vision
Built for placement teams. Designed to scale across institutions.
VeriAI is currently demonstrated as a secure college placement workspace. Multi-college onboarding and tenant isolation are planned as the next platform layer.
Dedicated College Instance
Operates as an isolated institutional workspace with dedicated database storage, campus-specific criteria rules, and separate student/TPO roles.
Multi-Tenant Institutional Scaling
Extending the core verification pipeline with tenant-isolated subdomains, institutional policy configs, and consortium-level recruiting portals.
FAQ
Frequently Asked Questions
Clear answers on VeriAI's architecture, evidence verification pipeline, and institutional deployment model.
See an explainable shortlist in action.
Explore an isolated demo workspace with synthetic student profiles and role-based candidate matching.