The fast-growing number of internet-conne- -cted devices known as IoT has led to a massive increase in data production. This has created a need for more storage and processing capabilities.However, traditional cloud comp- -ting faces challenges like high latency, limited bandwidth, and difficulty in scaling. Fog computing addresses these issues by bringing computing and storage closer to the network's edge. Despite this, finding the best location to store data in fog environments is still challenging due to limited resources and changing network conditions. In this paper, I introduce a smart data placement strategy that enhances storage usage, reduces latency, impr- -oves data availability, and boosts overall system performance. The method used to dete- -rmine the best data storage location involves machine learning based on factors like data access frequency, data popularity, storage capacity of fog nodes, and network conditions