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AI-Powered Talent Discovery Platform with Gamified Assessments
  1. case
  2. AI-Powered Talent Discovery Platform with Gamified Assessments

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AI-Powered Talent Discovery Platform with Gamified Assessments

nix-united.com
Information technology

Challenge

The client faces significant challenges in attracting and filtering qualified candidates for software development roles. Manual application processing is resource-intensive and inefficient, leading to high hiring costs and a difficulty in identifying candidates with the right skills, cultural fit, and long-term potential. Current methods struggle to effectively assess soft skills and cognitive abilities beyond resume screening.

About the Client

A global software development company seeking to optimize its recruitment process by identifying and attracting top talent with strong technical and cultural fit.

Objectives

  • Automate and optimize the job candidate filtering process.
  • Improve the accuracy of candidate assessment to identify high-potential individuals.
  • Reduce time-to-hire and associated recruitment costs.
  • Enhance candidate relevance and minimize mismatches between candidates and roles.
  • Strengthen cultural and skill-based fit within the organization.

Functional Requirements

  • Automated psychological assessments (e.g., problem-solving, concentration, adaptability, self-awareness).
  • Gamified interactive tests and challenges.
  • Adaptive user interface and dynamic content.
  • Automated test score evaluation and performance prediction.
  • Comprehensive reporting dashboards with customizable data analysis.
  • Candidate profile comparison.
  • Integration with existing Moodle infrastructure.

Preferred Technologies

Flutter
Kotlin
Spring Boot
Moodle
React
Laravel
JavaScript
WebAssembly

Integrations Required

  • Moodle LMS
  • Potential integration with existing HR systems (future phase)

Non-Functional Requirements

  • Scalability to handle a large volume of candidates.
  • High performance and low latency.
  • Secure data storage and transmission.
  • Cross-platform compatibility (web and potentially mobile).
  • Accessibility for users with disabilities.

Expected Business Impact

This project is expected to significantly improve the efficiency and effectiveness of the client's recruitment process. By leveraging AI-powered assessments and automated filtering, the client can reduce hiring costs, time-to-hire, and improve the quality of hires. The platform will lead to better candidate matching, increased employee retention, and a stronger overall workforce.

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