Paper Details

In current era, that is post pandemic, employers emphasis on assigning job to skilled employees and get job done as early as possible. Here main focus of employers is to assign right job to skilled person without giving excess burden to employee, so that they maintain the quality and accuracy of work. Also complete the task on time. As number of employees increases and also increase in required skill sets, it is quite tedious task to assign exact task to employee so that no employee remain idle and on other hand noone is overloaded excess work. Here, Machine Learning algorithms plays important role. Various ML algorithms will help to find best possible solution for this Employee task assignment problem. This paper try to find out best possible assignment of employee with task so that each employee get assigned to atleast one task and each task is allotted to sufficient employee. For this author used KNN algorithm with supervised ML. Here, author has implemented KNN algorithm with supervised learning technique to solve task assignment problem.

Task Assignment Problem, ML, KNN algorithm, supervised ML