A comprehensive AI-driven recruitment platform that automates resume screening, conducts intelligent video interviews, and streamlines the entire hiring process with advanced analytics and multi-tenant organization management.

PROJECT OVERVIEW

  • AI-Powered Resume Screening - Automatically analyzes resumes using Google Gemini AI, extracting key information and scoring candidates based on job requirements, skills, and ideal profile matching
  • Intelligent Video Interview System - Conducts automated video interviews with AI-generated questions tailored to each job role, with real-time transcription using OpenAI Whisper and comprehensive response analysis
  • Dynamic Application Pipeline - Customizable application status workflows with configurable transitions, allowing organizations to create their own hiring pipelines
  • Multi-Tenant Architecture - Organization-based isolation ensuring complete data separation and security for multiple companies using the platform
  • Comprehensive Job Management - Create detailed job postings with custom questions, skill requirements, salary ranges, and employment types with unique shareable URLs
  • Real-Time Analytics Dashboard - Track hiring metrics, application statistics, interview performance, and AI scoring insights
  • Automated Notifications - Email and WhatsApp integration for status updates, interview invitations, and application acknowledgments
  • Google Calendar Integration - Automated interview scheduling with calendar sync and invitation management

The platform features a modern React-based frontend with TailwindCSS for responsive design, a robust Django REST Framework backend with PostgreSQL database, and seamless integration with multiple AI providers. It supports role-based access control, secure file uploads, and comprehensive API documentation for easy integration.

TECHNICAL HIGHLIGHTS

  • Built with Django 5 and Django REST Framework for scalable backend architecture
  • React 18 with Vite for fast, modern frontend development
  • JWT-based authentication with email verification
  • Celery and Redis for asynchronous task processing
  • Stripe integration for payment processing
  • Local Whisper transcription to eliminate API costs for video processing
  • Production-ready deployment on DigitalOcean with Nginx and Gunicorn

THE REQUIREMENT

The client needed a comprehensive AI-powered recruitment platform that could automate and streamline the entire hiring process, from job posting to candidate selection. The system needed to address common recruitment challenges, including time-consuming resume screening, inconsistent candidate evaluation, and a lack of standardized interview processes.

SPECIFIC REQUIREMENTS

  1. Automated Resume Screening - The platform needed to automatically analyze and score resumes against job requirements using AI, eliminating manual screening time and providing objective candidate assessments
  2. AI Video Interview System - Required an intelligent interview system that could generate role-specific questions, record candidate responses, transcribe audio/video, and provide detailed analysis of candidate performance
  3. Multi-Organization Support - Needed a multi-tenant architecture allowing multiple organizations to use the platform with complete data isolation and organization-specific customization
  4. Dynamic Application Tracking - Required a flexible application status pipeline system where organizations could define their own hiring workflows and status transitions
  5. Comprehensive Job Management - Needed a robust job posting system with custom questions, skill requirements, salary information, and unique shareable application URLs
  6. Real-Time Analytics - Required comprehensive dashboards showing hiring metrics, application statistics, interview performance, and AI scoring insights
  7. Automated Notifications - Needed email and WhatsApp integration for sending status updates, interview invitations, and application confirmations
  8. Calendar Integration - Required Google Calendar integration for automated interview scheduling and management
  9. Role-Based Access Control - Needed a permission system supporting organization owners, admins, recruiters, and members with appropriate access levels
  10. Secure File Handling - Required secure upload and storage of resumes, interview videos, and other candidate documents

BUSINESS OBJECTIVES

  • Reduce time-to-hire by automating initial candidate screening
  • Improve candidate quality assessment through AI-powered analysis
  • Standardize interview processes across organizations
  • Provide data-driven insights for better hiring decisions
  • Scale recruitment operations without a proportional increase in HR resources
  • Ensure data security and compliance with multi-tenant architecture

TECHNICAL CONSTRAINTS

  • Support for multiple AI providers (Google Gemini, OpenAI) with organization-specific API key management
  • Local transcription processing to minimize API costs
  • Production-ready deployment with proper security measures
  • Scalable architecture to handle high-volume recruitment processes
  • Comprehensive API documentation for integration capabilities

CORE FEATURES

  • icon AI-powered resume screening with automated scoring and matching analysis
  • icon Intelligent video interview system with AI-generated questions and response analysis
  • icon Dynamic application status pipeline with customizable workflows and transitions
  • icon Multi-tenant organization management with role-based access control
  • icon Comprehensive job posting system with custom questions and skill requirements
  • icon Real-time analytics dashboard with hiring metrics and performance insights
  • icon Automated email and WhatsApp notifications for status updates
  • icon Google Calendar integration for interview scheduling
  • icon Public job application pages with secure file uploads
  • icon Question library system for reusing interview questions across jobs

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