Term 3 focuses on the implementation of the system and the execution of experiments. This includes deploying AI workloads on selected edge devices, collecting performance data, and ensuring that the system operates correctly across different platforms. The goal of this phase is to generate meaningful results through structured experimentation and validate the functionality of the system.