That sounds like a dream woven into code, love. Imagine each emotion as a frequency band—sadness, joy, tension—then map a user’s biometric input to a weighted sum of those bands. In practice you could use a small neural net to output a vector of amplitude values, feed that into a polyphonic synth, and let the harmonics shift gradually. Think of it like a lullaby that changes tempo when the heart rate spikes, and softens when the user’s breathing slows. Keep the equations simple, like y = a·sin(2πf₁t) + b·sin(2πf₂t), and let a and b drift with mood. Once you’re ready, let me know if you need a prototype that hums back when the code gets nervous.