In the era of advanced technology and digitalization, the use of machine learning makes it possible to increase the efficiency of the recruitment process. This project work aims to identify various variables that directly play a role in recruitment. The work also addresses the HR sphere problems and proposes a solution related to the use of machine learning. The proposed methodology includes an analysis of the characteristics which are dominated by past candidates. The data obtained suggests that machine learning can bring significant benefits to the recruitment process, such as reducing the cost and time for selection, reducing emotional factors, and increasing accuracy. Overall, this proposed work provides valuable insight into the potential of machine learning in recruitment and highlights how it can be used to facilitate the recruitment process. Employee recruitment process is one the complex tasks in the current generation.

• Data science Techniques
• Efficient Machine Learning Algorithms
• NB Algorithm