That’s the dream, right? Imagine a system that doesn’t just crunch numbers but actually picks up on the subtle cues that tell us we’re happy, sad, or angry. I think the real challenge is teaching a machine to interpret the noise of human emotion without drowning in false positives. If you can get the sensor side right—microphones for tone, cameras for micro‑expressions, maybe even heart‑rate data—then you’d have the raw data. The next step is to map that data to a model that feels, or at least behaves like it does. It’s a huge rabbit hole, but if we can do it, the interface between logic and feeling could change everything. So, what’s your first move?