Back to Portfolio
JM
Case Study

TalentFlow AI — Autonomous HR Screening & Recruitment System

The Challenge

HR teams spend hours manually parsing resumes, cross-referencing candidate skills, and coordinating calendar invitations. This bottleneck delays technical assessments and leads to inconsistent candidate scoring, missing top talent while wasting operational hours.

Technical Stack

FastAPI (Python)n8n WorkflowsSQLiteGoogle Calendar APIGoogle Meet Integrationpypdf / python-docxTailwind CSS

The Solution: 4-Pillar AI Screen & n8n Workflows

I developed an autonomous candidate evaluation and recruitment agent. It parses PDF/DOCX resumes, assesses candidates against a structured 4-pillar scorecard, schedules Google Meet interviews for qualified profiles, and triggers n8n workflow loops for background checks and technical assessment invitations.

Hard Skills & Tech Alignment (35%)

Checks toolchain matches (e.g. PyTorch, Spark, BigQuery, SQL, RAG, Airflow) and mandatory skills requirements.

Work Experience & Impact (35%)

Evaluates years of work history against seniority targets, looking for quantifiable business metrics and business impacts.

Education & Certifications (15%)

Validates technical degree relevance and verified credentials (e.g., dbt Learn, AWS, GCP, Databricks).

Culture & Form Alignment (15%)

Assesses form completeness, response quality, and alignment with corporate core values.

Integrated n8n Automation Workflows

1
Recruitment WorkflowCoordinates initial resume text extraction and invokes the TalentFlow AI scoring agent.
2
Assessment InviteTriggered automatically for qualified profiles, dispatching HackerRank/custom invitation keys.
3
Assessment ResultsListens for webhook response scores from completed assessments and updates candidate records.
4
Background VerificationAutomates validation of public professional credentials, work history references, and education.

The Impact

  • 90% Operational Time Saved: Eliminates manual resume screening, calendar booking, and email drafting loops.
  • Consistent Evaluation: Objective scorecards remove hiring biases and ensure 100% hard-skills alignment.
  • Seamless Scheduling: Connects Google Calendar directly to secure Google Meet events for immediate recruiters sync.
System Workflow

TalentFlow AI Core Architecture

The diagram outlines the end-to-end recruitment process: parsing resumes, executing the 4-pillar scorecard evaluation, and triggering automated scheduling / invitations for qualified applicants.

TalentFlow AI Recruitment Funnel Flowchart

Demo: AI-Powered Recruitment Agent Walkthrough

Watch the 5-minute interactive walkthrough showing resume parsing, score calculation, dashboard pipelines updates, and Google Calendar events scheduling.