Develop an AI-driven recruitment system that can adapt to changing talent needs and hiring criteria in the education sector.
Design algorithms for the AI recruiter-agent to identify and recommend suitable candidates based on their educational background, skills, and experience.
Implement a dynamic feedback mechanism to continuously improve the performance of the AI recruiter-agent in sourcing and selecting qualified candidates.
Evaluate the effectiveness of the AI recruiter-agent in enhancing the efficiency and accuracy of talent acquisition and hiring processes in educational institutions.
Conduct a literature review on existing AI recruitment systems and their applications in the education sector.
Analyze the requirements and challenges of talent acquisition and hiring in educational institutions.
Design and develop algorithms for the adaptive AI recruiter-agent using machine learning and natural language processing techniques.
Implement the AI recruiter-agent prototype and conduct experiments to evaluate its performance in real-world scenarios.
Document the research findings and present the results to academic and industry stakeholders.
