This document discusses using filters to spoof age detection models. It presents an age prediction model trained on over 700 face images. Initial results show the model predicts age with a mean squared error of 17.5 years for 10% of images and is within 5 years for 82% of images. Preprocessing techniques like cropping, resizing, and flipping images improves results, lowering the mean squared error to 7.69 years for 52% of images. Next steps discussed include optimizing model parameters and applying it to dating apps to potentially spoof reported age.