OyaAnn is a lightweight JavaScript library that lets developers create, train, and run simple multivariate artificial neural networks directly in code. It’s aimed at engineers and hobbyists who need on‑the‑fly calibration models—such as temperature‑compensated conductivity curves—for sensor data, allowing networks to be built from observed samples, saved, and reused without heavy‑weight machine‑learning frameworks.
How the donated funds are distributed
Kivach works on the Obyte network, and therefore you can track all donations.