Merit prediction refers to the process of estimating or forecasting the potential performance, ranking, or achievement of individuals, groups, or entities based on specific criteria, metrics, or historical data. It is commonly applied in educational institutions, recruitment processes, and competitive examinations to predict outcomes such as academic success, job performance, or overall rankings. By leveraging statistical models, machine learning algorithms, or past performance trends, merit prediction helps decision-makers allocate resources, identify talent, and set realistic expectations. However, its accuracy heavily depends on the quality of data and the fairness of the evaluation criteria, making it crucial to minimize biases and ensure inclusivity in its implementation.