Scholar placement is a crucial aspect of academic institutions, impacting admissions. Institutions enhance placement departments to bolster this process. This paper analyzes historical student data to predict placements, presenting a recommendation system employing Naive Bayes and K Neighbors algorithms to increase efficiency. The system aids in identifying potential students for skill improvement.

• Academic Placement
• Predictive Analytics
• Recommendation System

Predictive analytics, analyzing historical and current data, aids organizations in optimal decision-making by integrating the four W’s (what, who, where, when) to understand why and how. It’s crucial in higher education, enhancing quality, addressing issues like enrollment and curriculum. A case study at Delhi Technical University, India, demonstrates its potential.

• Decision-Making
• Higher Education
• Predictive Analytics