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Development of AI-Powered Recruitment Platform with Real-Time Matching
  1. case
  2. Development of AI-Powered Recruitment Platform with Real-Time Matching

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Development of AI-Powered Recruitment Platform with Real-Time Matching

mainsoft.org
Human Resources
Information technology

Current Hiring Process Inefficiencies

Traditional recruitment methods suffer from poor candidate-employer matching, slow communication cycles, and biased hiring practices. Existing platforms lack intelligent automation and real-time collaboration capabilities, leading to suboptimal hiring outcomes and increased time-to-fill metrics.

About the Client

Provider of innovative HR management and recruitment technology solutions

Platform Development Goals

  • Create a two-sided marketplace connecting recruiters and candidates
  • Implement AI-driven smart matching algorithms
  • Enable real-time communication and collaboration
  • Reduce hiring cycle time by 40%
  • Improve candidate-job match accuracy to 90%

Core System Capabilities

  • Automated candidate sourcing from multiple channels
  • AI-powered profile validation and skill assessment
  • Real-time machine learning-based job-candidate matching
  • Integrated video conferencing for interviews
  • Secure messaging platform for stakeholder communication
  • Personalized job opportunity recommendations
  • Anonymous job-seeking mode for unbiased hiring

Technology Stack Requirements

Java/Python backend with Spring framework
Angular frontend with WebRTC capabilities
AWS cloud infrastructure (EC2, S3, RDS)
Apache Spark/Hadoop for data processing
Hibernate/JPA for ORM
Swagger for API documentation

System Integration Needs

  • Video conferencing API integration
  • Payment gateway for premium features
  • Third-party background check services
  • Resume parsing APIs
  • Analytics and reporting dashboards

Operational Requirements

  • Support 10,000+ concurrent users
  • 99.9% system availability SLA
  • End-to-end data encryption
  • Sub-200ms latency for matching operations
  • GDPR-compliant data handling

Expected Business Outcomes

The platform will reduce average hiring costs by 35% through improved matching efficiency, increase candidate placement rates by 50%, and create a scalable SaaS revenue model. Implementation will position the client as a market leader in AI-powered recruitment technology with potential for 200% YoY growth.

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