QuirkHire — Resume Recommendation Prototype

Overview

Project context

AI-based resume recommendation prototype with recruiter workflows using React, Django/DRF, and Supabase.

Problem

What needed to be solved

Recruiters and career-center operators needed structured support to triage CVs and shortlist candidates with clearer ranking rationale.

Impact

Delivery outcomes

• Delivered a role-oriented recommendation workflow prototype.
• Improved recruiter-side comparison flow with clearer recommendation presentation.
• Demonstrated AI-assisted ranking integration in practical UI workflow.

Architecture

Execution flow

Step-by-step implementation path used to deliver this project.

1. Step 1

   React recruiter interface

2. Step 2

   Django/DRF backend APIs

3. Step 3

   Supabase data workflow

4. Step 4

   Recommendation pipeline for shortlist ranking

Features

Capabilities shipped

Media

Screenshots and recordings

QuirkHire — Resume Recommendation Prototype screenshot 1

Limitations

Scope boundaries

• Prototype recommendation layer requires further domain calibration.
• Final hiring decisions remain human-reviewed.
• Evaluation depth depends on available labeled hiring outcomes.

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