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Case study

HAIER-HR : AI-Powered Recruitment Platform

A full-stack SaaS platform utilizing Django for the backend, Vue.js for the SPA, and React for the landing page, with Supabase integrated for authentication and storage. AI Core: Leverages LLM models to analyze resumes,…

Overview

The project

A full-stack SaaS platform utilizing Django for the backend, Vue.js for the SPA, and React for the landing page, with Supabase integrated for authentication and storage. AI Core: Leverages LLM models to analyze resumes, extract skills, and generate comprehensive candidate reports, including strengths, weaknesses, and radar charts. Interview Interface: Features a browser-based AI interview experience similar to Google Meet. Architecture: Built on a modular architecture with isolated services dedicated to CV parsing, AI scoring, and interview analysis. Efficiency & Automation: Implements automated candidate workflows—covering CV upload, scoring, and AI interview invitations—reducing recruiter screening time by over 80%.

Capabilities

What it does

  • AI-Powered Screening

  • Candidate Intelligence

  • Virtual Interview Suite

  • Recruitment Automation

Technology

How it's built

  • Python
  • Django
  • PostgreSQL
  • Vue.js (SPA)
  • React (Landing)
  • PrimeVue
  • Sentry
  • Elastic APM
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