RRRavish Rana
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Ops & DataLive demo

Talent Hub ATS

A full-stack Applicant Tracking System with AI-assisted resume screening, automated candidate scoring, drag-and-drop Kanban pipeline management, and Slack notifications, built as a Turborepo monorepo.

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Pipeline stages
Applied -> Offer
Roles
4 RBAC
Architecture
Turborepo

The problem

Hiring teams lose candidates in spreadsheets and screen resumes inconsistently, with no shared pipeline or audit trail.

How it works

A monorepo web app manages the candidate pipeline while background workers handle resume parsing and Claude-based scoring. Seed data ships with role-based test accounts for admin, recruiter, hiring manager and interviewer.

Architecture

Browser (Next.js 15)
   -> API routes (NextAuth)
   -> Prisma / PostgreSQL  +  BullMQ workers (Redis)
   -> Claude scoring, S3 (MinIO) docs, Slack notifications

Highlights

  • AI resume screening: Claude evaluates uploaded resumes against job requirements and produces a structured fit score with reasoning.
  • Drag-and-drop Kanban pipeline from Applied through Offer with stage-level analytics.
  • Background job system (BullMQ + Redis) for async document processing, email and webhooks.
  • EEO/OFCCP compliance tracking built into the pipeline.
  • Turborepo monorepo with a shared Prisma schema, types and validators across the web app and workers.