Description:

E-Risk System predicts which employees are likely to leave by analyzing factors like job satisfaction, performance, and etc. Using artificial intelligence (AI), it identifies patterns and provides recommendations to retain high-risk employees, such as career development. Over time, the AI improves its predictions, helping organizations reduce turnover and retain valuable talent.

Description:

identify Readiness Promotion Train models with historical promotion data to identify patterns and factors influencing promotion success Identify skill gaps and development areas needed for promotion Provide personalized development recommendations to employees

Description:

This project focuses on assessing the potential AI-powered solutions that can support and streamline Career Chat discussions to simplify, enhance, and scale career conversations between employees and managers, ensuring a more structured, data-driven, and personalized approach to talent development.