Quantum-Driven AI: Enhancing Recruitment with Advanced Data Insights
Project scope
Categories
Electrical engineering Software development Artificial intelligence Scientific researchSkills
No skills listedObjective:
Propelinx aims to explore innovative applications of quantum computing and data analysis to enhance its AI-powered recruitment platform, with a focus on improving candidate matching, bias detection, and predictive analytics.
Scope:
- Analyze large-scale hiring data to identify patterns and improve candidate matching algorithms.
- Develop simulations to predict hiring trends and workforce dynamics.
- Create training materials for recruiters on using Propelinx’s platform and understanding diversity metrics.
Deliverables:
A detailed report on how quantum computing principles can be applied to improve Propelinx’s AI algorithms.
A prototype simulation model for predicting hiring trends.
A set of training materials (e.g., videos, guides, or interactive modules) for recruiters.
Success Criteria:
The simulation model achieves at least 80% accuracy in predicting hiring trends.
The training materials receive positive feedback from a test group of recruiters.
The final report provides actionable recommendations for improving Propelinx’s AI algorithms.
Direct involvement in project tasks, offering guidance, and demonstrating techniques.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
About the company
KitchenFlow is a marketplace that connects food entrepreneurs with underused commercial kitchens — available by the hour, day, or week. We’re unlocking flexible kitchen access for chefs, caterers, and small food brands while helping kitchen owners earn extra income from unused space.