The Bin Packing Problem is a classic optimization challenge in computer science and mathematics. It involves packing a set of items, each with a specific size, into a limited number of containers, or "bins," in a way that minimizes the number of bins used. This problem is common in logistics, resource allocation, and various applications where efficient space utilization is crucial. There are several algorithms to tackle the Bin Packing Problem, including the First-Fit and Best-Fit strategies. These methods help determine how to place items into bins effectively. The problem is known to be NP-hard, meaning that finding the optimal solution can be computationally intensive as the number of items increases.