The domain of artificial intelligence demands a paradigm shift. Centralized architectures are reaching their boundaries, hampered by latency and connectivity issues. This underscores the increasing need to localize intelligence, pushing processing power to the edge. Edge computing offer a attractive solution by bringing computation closer to source

As technology accelerates, the demand for real-time data interpretation is soaring. Centralized cloud computing, while powerful, can face limitations in terms of latency and bandwidth. This is where Edge AI emerges as a transformative approach, bringing intelligence directly to the source of data generation. By deploying systems on edge devices, su