In order to effectively manage and process incoming calls, the study presents an enhanced caller identification system that makes use of the binary search tree and bucket sort algorithms. The system includes a True Caller function that shows a preview of the caller's contact information. The bucket sort method is used to arrange contacts according to how frequently they communicate, and the binary search tree is used to store and retrieve contact information. These algorithms enable the system to swiftly and precisely recognize incoming calls and provide contact information in real time. The suggested approach outperforms current caller identification methods in terms of speed and accuracy when tested and evaluated using real-world data. The technology could be used in call centers, mobile networks, and personal communication devices, to name just a few applications. The recommended strategy also has the advantage of optimizing memory usage by reducing the number of duplicate contact entries. The bucket sort algorithm combines contacts according to how frequently they communicate, enabling the system to give priority to those who are regularly contacted. The system also makes use of the True Caller function to offer further details like spam detection, call blocking, and caller identity. Overall, the suggested system offers a complete answer for handling incoming calls, enhancing productivity. The system offers a scalable and affordable solution for call management and is simple to integrate into current communication devices and networks.