The Activity Selection Problem is a classic optimization problem in computer science and operations research. It involves selecting the maximum number of activities that do not overlap in time. Each activity has a start and finish time, and the goal is to choose a subset of these activities that can be performed without any conflicts. To solve this problem, a common approach is to use a greedy algorithm. This method involves sorting the activities by their finish times and then iteratively selecting activities that start after the last selected activity has finished. This ensures that the maximum number of non-overlapping activities is chosen efficiently.