  There have been multiple methods proposed to calculate lift coefficients in
microfluidic channels. One of the most used methods is using Direct Numerical
Simulation. DNS is a very accurate yet computationally expensive method. DNS
computations comprise most of the time consumed on a microfluidic simulation
done by commercial software. This paper proposes a user-friendly, fast, and
accurate AI-based webapp named microAI that can calculate the microfluidic lift
coefficients of channels. We have also studied the effects of different types
of activation functions and optimizers in convergence and the final function's
differentiability. microAI is deployed to huggingface and is accessible at
\url{https://erfanhamdi.github.io/microAI/}
